Digital Health – Gait Analytics

Our group focuses on the development and application of novel hardware and software tools for movement and gait assessment. To optimally assess functional limitations in real-world conditions, we develop unobtrusive wearable sensor systems that can acquire movement and other physiological data in the clinic as well as in the patients’ home environment.

The obtained clinical data in general and home monitoring data in particular are sensitive with regard to privacy and require new storage, handling, and access concepts. As a basis for safe and efficient data processing, we investigate appropriate data management concepts and contribute to novel medical data infrastructures.

From an analytical perspective, the efficient data processing of those large data sets requires sophisticated signal processing and machine learning tools to efficiently derive clinically relevant parameters, such as interpretable spatio-temporal parameters. This allows us to gain insight into disease-related symptoms and mechanisms in order to provide feedback to patients, researchers, and physicians regarding clinical interventions, treatment efficacy, or disease progression. Artificial intelligence tools are used to create decision support systems that may support clinicians to optimize and individualize treatments. By developing novel movement analysis algorithms based on signal processing and machine learning and by improving existing state-of-the-art methods we aim to shape a healthy digital future.

Group Members

Alzhraa Ahmed, M. Sc.

Ann-Kristin Seifer, M. Sc.

Arne Küderle, M. Sc.

Hamid Moradi, M. Sc.

Malte Ollenschläger, M. Sc.

Martin Ullrich, M. Sc.

Nils Roth, M. Sc.

Current Students

If you are interested in writing a Bachelor’s or Master’s thesis in our group, please check the lab’s Student Theses and Jobs.

Publications

2022

Antunes RS., Da Costa CA., Küderle A., Abdullahi I., Eskofier B.:
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
In: ACM Transactions on Intelligent Systems and Technology (2022)
ISSN: 2157-6904
DOI: 10.1145/3501813
URL: https://dl.acm.org/doi/10.1145/3501813
BibTeX: Download
Froehlich H., Bontridder N., Petrovska-Delacreta D., Glaab E., Kluge F., El Yacoubi M., Marin Valero M., Corvol JC., Eskofier B., Van Gyseghem JM., Lehericy S., Winkler J., Klucken J.:
Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease
In: Frontiers in Neurology 13 (2022)
ISSN: 1664-2295
DOI: 10.3389/fneur.2022.788427
BibTeX: Download
Ibrahim A., Flachenecker F., Gaßner H., Rothammer V., Klucken J., Eskofier B., Kluge F.:
Short inertial sensor-based gait tests reflect perceived state fatigue in multiple sclerosis
In: Multiple Sclerosis and Related Disorders 58 (2022), Article No.: 103519
ISSN: 2211-0348
DOI: 10.1016/j.msard.2022.103519
BibTeX: Download
Krauß D., Richer R., Küderle A., Rohleder N., Eskofier B.:
Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information
13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022 (Wien, 10. September 2022 - 13. September 2022)
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Ollenschläger M., Kluge F., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B.:
Correction to: Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? (European Geriatric Medicine, (2022), 10.1007/s41999-022-00629-1)
In: European Geriatric Medicine (2022)
ISSN: 1878-7649
DOI: 10.1007/s41999-022-00646-0
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Ollenschläger M., Kluge F., Müller-Schulz M., Püllen R., Möller C., Klucken J., Eskofier B.:
Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards?
In: European Geriatric Medicine (2022)
ISSN: 1878-7649
DOI: 10.1007/s41999-022-00629-1
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Ollenschläger M., Küderle A., Mehringer W., Seifer AK., Winkler J., Gaßner H., Kluge F., Eskofier B.:
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
In: Sensors 22 (2022)
ISSN: 1424-8220
DOI: 10.3390/s22155849
BibTeX: Download
Regensburger M., Spatz I., Ollenschläger M., Martindale C., Lindeburg P., Kohl Z., Eskofier B., Klucken J., Schuele R., Klebe S., Winkler J., Gaßner H.:
Inertial Gait Sensors to Measure Mobility and Functioning in Hereditary Spastic Paraplegia A Cross-sectional Multicenter Clinical Study
In: Neurology 99 (2022), p. E1079-E1089
ISSN: 0028-3878
DOI: 10.1212/WNL.0000000000200819
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Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Rohleder N., Eskofier B.:
Detection of Acute Psychosocial Stress from Body Movements using Machine Learning
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
BibTeX: Download
Richer R., Zenkner JJ., Küderle A., Rohleder N., Eskofier B.:
Exploring the Cold Face Test as a Mechanism for Reducing Acute Psychosocial Stress Responses
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
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Rohleder N., Richer R., Koch V., Küderle A., Müller V., Wirth V., Stamminger M., Eskofier B.:
Effect of Acute Psychosocial Stress on Body Movements
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine 2022
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Roth N., Ullrich M., Küderle A., Gladow T., Marxreiter F., Gaßner H., Kluge F., Klucken J., Eskofier B.:
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease
In: IEEE Journal of Biomedical and Health Informatics (2022), p. 1-9
ISSN: 2168-2194
DOI: 10.1109/JBHI.2022.3186766
BibTeX: Download
Schwinn L., Bungert L., Nguyen A., Raab R., Pulsmeyer F., Precup D., Eskofier B., Zanca D.:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Proceedings of the 39th International Conference on Machine Learning (Baltimore, USA, 17. July 2022 - 23. July 2022)
In: PMLR (ed.): 162 2022
Open Access: https://proceedings.mlr.press/v162/schwinn22a.html
URL: https://proceedings.mlr.press/v162/schwinn22a.html
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Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Rengifo S., Caruana M., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Angel Ferrer M., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Lia Szcs C., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
SVC-onGoing: Signature verification competition
In: Pattern Recognition 127 (2022), Article No.: 108609
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2022.108609
BibTeX: Download
Truong MT., Nwosu OB., Gaytan Torres ME., Segura Vargas MP., Seifer AK., Nitschke M., Ibrahim A., Knitza J., Krusche M., Eskofier B., Schett G., Morf H.:
A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study
In: JMIR Formative Research 6 (2022), p. e34566
ISSN: 2561-326X
DOI: 10.2196/34566
URL: https://formative.jmir.org/2022/6/e34566
BibTeX: Download
Vorberg L., Pflüger S., Richer R., Jäger K., Küderle A., Nassall K., Eskofier B., Rohleder N.:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns Using Machine Learning
79th Annual Scientific Meeting of the American Psychosomatic Society (Long Beach, CA, 23. March 2022 - 26. March 2022)
In: Lippincott Williams & Wilkins (ed.): Psychosomatic Medicine, PHILADELPHIA: 2022
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Weber N., Lennartz R., Knitza J., Bayat S., Sadeghi M., Ibrahim A., Karatastan C., Sudhakar A., Ramzezanzadegan N., Kahali S., Mirzayev A., Schuster L., Schett G., Eskofier B., Kleyer A.:
AB1528-HPR FULL BODY HAPTIC BODYSUIT - AN INSTRUMENT TO MEASURE THE RANGE AND SPEED OF MOTION IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (axSpA) - PRELIMINARY RESULTS
In: Annals of the Rheumatic Diseases 81 (2022), p. 1866.2-1867
ISSN: 0003-4967
DOI: 10.1136/annrheumdis-2022-eular.3069
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Zürl M., Stoll P., Brehm I., Raab R., Zanca D., Kabri S., Happold J., Nille H., Prechtel K., Wünsch S., Krause M., Seegerer S., von Fersen L., Eskofier B.:
Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
In: Animals 12 (2022), p. 692
ISSN: 2076-2615
DOI: 10.3390/ani12060692
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2021

Abdullahi I., Dehling T., Kluge F., Eskofier B., Sunyaev A.:
Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems
In: 54th Hawaii International Conference on Systems Sciences (HICSS-54) 2021
URL: https://scholarspace.manoa.hawaii.edu/handle/10125/71079
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Abdullahi I., Dehling T., Kluge F., Geck J., Sunyaev A., Eskofier B.:
Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review
In: Journal of Medical Internet Research 23 (2021), p. e24460
ISSN: 1438-8871
DOI: 10.2196/24460
URL: https://www.jmir.org/2021/11/e24460
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Gaßner H., List J., Martindale C., Regensburger M., Klucken J., Winkler J., Kohl Z.:
Functional gait measures correlate to fear of falling, and quality of life in patients with Hereditary Spastic Paraplegia: A cross-sectional study
In: Clinical Neurology and Neurosurgery 209 (2021), Article No.: 106888
ISSN: 0303-8467
DOI: 10.1016/j.clineuro.2021.106888
BibTeX: Download
Happold J., Richer R., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630842
URL: https://www.mad.tf.fau.de/files/2021/12/happold21_vertigo_home.pdf
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Jakob V., Küderle A., Kluge F., Klucken J., Eskofier B., Winkler J., Winterholler M., Gaßner H.:
Validation of a sensor-based gait analysis system with a gold-standard motion capture system in patients with parkinson’s disease
In: Sensors 21 (2021), Article No.: 7680
ISSN: 1424-8220
DOI: 10.3390/s21227680
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Kamal Mallick M., Biser S., Haridas A., Umesh V., Toensing O., Abdullahi I., Ollenschläger M., Heckel M., Kluge F., Ostgathe C., Eskofier B., Steigleder T.:
Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study
In: Frontiers in Digital Health 3 (2021)
ISSN: 2673-253X
DOI: 10.3389/fdgth.2021.765867
URL: https://www.frontiersin.org/articles/10.3389/fdgth.2021.765867/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Digital_Health&id=765867#h6
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Kluge F., Del Din S., Cereatti A., Gaßner H., Hansen C., Helbostad JL., Klucken J., Küderle A., Mueller A., Rochester L., Ullrich M., Eskofier B., Mazza C.:
Consensus based framework for digital mobility monitoring
In: PLoS ONE 16 (2021)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0256541
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Martindale C., Christlein V., Klumpp P., Eskofier B.:
Wearables-based multi-task gait and activity segmentation using recurrent neural networks
In: Neurocomputing 432 (2021), p. 250-261
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2020.08.079
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Mazza C., Alcock L., Aminian K., Becker C., Bertuletti S., Bonci T., Brown P., Brozgol M., Buckley E., Carsin AE., Caruso M., Caulfield B., Cereatti A., Chiari L., Chynkiamis N., Ciravegna F., Del Din S., Eskofier B., Evers J., Aymerich JG., Gazit E., Hansen C., Hausdorff JM., Helbostad JL., Hiden H., Hume E., Paraschiv-Ionescu A., Ireson N., Keogh A., Kirk C., Kluge F., Koch S., Küderle A., Lanfranchi V., Maetzler W., Mico-Amigo ME., Mueller A., Neatrour I., Niessen M., Palmerini L., Pluimgraaff L., Reggi L., Salis F., Schwickert L., Scott K., Sharrack B., Sillen H., Singleton D., Soltani A., Taraldsen K., Ullrich M., Van Gelder L., Vereijken B., Vogiatzis I., Warmerdam E., Yarnall A., Rochester L.:
Technical validation of real-world monitoring of gait: a multicentric observational study
In: BMJ Open 11 (2021)
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2021-050785
BibTeX: Download
Polhemus A., Ortiz LD., Brittain G., Chynkiamis N., Salis F., Gaßner H., Gross M., Kirk C., Rossanigo R., Taraldsen K., Balta D., Breuls S., Buttery S., Cardenas G., Endress C., Gugenhan J., Keogh A., Kluge F., Koch S., Mico-Amigo ME., Nerz C., Sieber C., Williams P., Bergquist R., De Basea MB., Buckley E., Hansen C., Mikolaizak AS., Schwickert L., Scott K., Stallforth S., Van Uem J., Vereijken B., Cereatti A., Demeyer H., Hopkinson N., Maetzler W., Troosters T., Vogiatzis I., Yarnall A., Becker C., Garcia-Aymerich J., Leocani L., Mazza C., Rochester L., Sharrack B., Frei A., Puhan M.:
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes
In: npj Digital Medicine 4 (2021)
ISSN: 2398-6352
DOI: 10.1038/s41746-021-00513-5
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Richer R., Küderle A., Dörr J., Rohleder N., Eskofier B.:
Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Athens, 28. July 2021 - 30. July 2021)
In: IEEE (ed.): 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2021
DOI: 10.1109/BHI50953.2021.9508529
URL: https://www.mad.tf.fau.de/files/2021/08/richer21_car_inner_clock.pdf
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Richer R., Küderle A., Ullrich M., Rohleder N., Eskofier B.:
BioPsyKit: A Python package for the analysis of biopsychological data
In: Journal of Open Source Software 6 (2021), p. 3702
ISSN: 2475-9066
DOI: 10.21105/joss.03702
URL: https://www.theoj.org/joss-papers/joss.03702/10.21105.joss.03702.pdf
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Roth N., Küderle A., Prossel D., Gaßner H., Eskofier B., Kluge F.:
An inertial sensor-based gait analysis pipeline for the assessment of real-world stair ambulation parameters
In: Sensors 21 (2021), Article No.: 6559
ISSN: 1424-8220
DOI: 10.3390/s21196559
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Roth N., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients
In: Journal of neuroEngineering and rehabilitation 18 (2021), Article No.: 93
ISSN: 1743-0003
DOI: 10.1186/s12984-021-00883-7
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Roth N., Wieland GP., Küderle A., Ullrich M., Gladow T., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630378
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Timotius I., Bieler L., Couillard-Despres S., Sandner B., Garcia-Ovejero D., Labombarda F., Estrada V., Müller HW., Winkler J., Klucken J., Eskofier B., Weidner N., Puttagunta R.:
Combination of defined catwalk gait parameters for predictive locomotion recovery in experimental spinal cord injury rat models
In: eNeuro 8 (2021), p. 1-14
ISSN: 2373-2822
DOI: 10.1523/ENEURO.0497-20.2021
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Tolosana R., Vera-Rodriguez R., Gonzalez-Garcia C., Fierrez J., Rengifo S., Morales A., Ortega-Garcia J., Carlos Ruiz-Garcia J., Romero-Tapiador S., Jiang J., Lai S., Jin L., Zhu Y., Galbally J., Diaz M., Ferrer MA., Gomez-Barrero M., Hodashinsky I., Sarin K., Slezkin A., Bardamova M., Svetlakov M., Saleem M., Szücs CL., Kovari B., Pulsmeyer F., Wehbi M., Zanca D., Ahmad S., Mishra S., Jabin S.:
ICDAR 2021 Competition on On-Line Signature Verification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, 5. September 2021 - 10. September 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86337-1_48
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Ullrich M., Küderle A., Reggi L., Cereatti A., Eskofier B., Kluge F.:
Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (, 1. November 2021 - 5. November 2021)
DOI: 10.1109/EMBC46164.2021.9630653
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Ullrich M., Mücke A., Küderle A., Roth N., Gladow T., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Detection of unsupervised standardized gait tests from real-world inertial sensor data in Parkinson’s disease
In: IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021), p. 2103-2111
ISSN: 1534-4320
DOI: 10.1109/TNSRE.2021.3119390
URL: https://ieeexplore.ieee.org/abstract/document/9567680
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Wirth M., Gradl S., Prosinger G., Kluge F., Roth D., Eskofier B.:
The impact of avatar appearance, perspective and context on gait variability and user experience in virtual reality
28th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 (Virtual, Lisboa, PRT, 27. March 2021 - 3. April 2021)
In: Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 2021
DOI: 10.1109/VR50410.2021.00055
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2020

Ceron JD., Kluge F., Küderle A., Eskofier B., López DM.:
Simultaneous indoor pedestrian localization and house mapping based on inertial measurement unit and bluetooth low-energy beacon data
In: Sensors 20 (2020), p. 1-21
ISSN: 1424-8220
DOI: 10.3390/s20174742
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Ceron JD., Martindale C., López DM., Kluge F., Eskofier B.:
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System
In: Sensors 20 (2020), p. 651
ISSN: 1424-8220
DOI: 10.3390/s20030651
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Dorschky E., Nitschke M., Martindale C., van den Bogert AJ., Koelewijn A., Eskofier B.:
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
In: Frontiers in Bioengineering and Biotechnology 8 (2020), p. 1-14
ISSN: 2296-4185
DOI: 10.3389/fbioe.2020.00604
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Fischer S., Ullrich M., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Automatic clinical gait test detection from inertial sensor data
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Montreal, 20. July 2020 - 24. July 2020)
DOI: 10.1109/EMBC44109.2020.9176440
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Ibrahim A., Küderle A., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
In: Journal of neuroEngineering and rehabilitation 17 (2020), Article No.: 165
ISSN: 1743-0003
DOI: 10.1186/s12984-020-00798-9
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König C., Plank AC., Kapp A., Timotius I., von Hörsten S., Zimmermann K.:
Thirty Mouse Strain Survey of Voluntary Physical Activity and Energy Expenditure: Influence of Strain, Sex and Day–Night Variation
In: Frontiers in Neuroscience 14 (2020), Article No.: 531
ISSN: 1662-4548
DOI: 10.3389/fnins.2020.00531
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Orozco-Arroyave JR., Vasquez Correa J., Klumpp P., Pérez Toro PA., Escobar-Grisales D., Roth N., Ríos-Urrego CD., Strauß M., Carvajal-Castaño HA., Bayerl S., Castrillón-Osorio LR., Arias-Vergara T., Küderle A., López-Pabón FO., Parra-Gallego LF., Eskofier B., Gómez-Gómez LF., Schuster M., Nöth E.:
Apkinson: the smartphone application for telemonitoring Parkinson's patients through speech, gait and hands movement
In: Neurodegenerative Disease Management (2020)
ISSN: 1758-2024
DOI: 10.2217/nmt-2019-0037
BibTeX: Download
Polhemus AM., Bergquist R., Bosch de Basea M., Brittain G., Buttery SC., Chynkiamis N., Dalla Costa G., Delgado Ortiz L., Demeyer H., Emmert K., Garcia Aymerich J., Gaßner H., Hansen C., Hopkinson N., Klucken J., Kluge F., Koch S., Leocani L., Maetzler W., Micó-Amigo ME., Mikolaizak AS., Piraino P., Salis F., Schlenstedt C., Schwickert L., Scott K., Sharrack B., Taraldsen K., Troosters T., Vereijken B., Vogiatzis I., Yarnall A., Mazza C., Becker C., Rochester L., Puhan MA., Frei A.:
Walking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping review
In: BMJ Open 10 (2020), p. e038704-
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2020-038704
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Seifer AK., Schinkel-Bielefeld N., Schröter H., Escalante Banuelos A., Hoppe U., Maier A.:
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach
Virtual Conference on Computational Audiology (VCCA2020) (Virtual, 19. June 2020 - 19. June 2020)
In: Virtual Conference on Computational Audiology (VCCA2020) 2020
URL: https://computationalaudiology.com/predicting-hearing-aid-fittings-based-on-audiometric-and-subject-related-data-a-machine-learning-approach/
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Sternemann U., Suchantke I., Schmidt KG., Höfner P., Wagner D., Ollenschläger M., Heckel M., Ostgathe C., Eskofier B., Steigleder T.:
Entwicklung einer Applikation zum Home-Monitoring des Gesundheitszustandes von Palliativpatienten - eine Proof-of-Concept-Studie
13. DGP Kongress Deutsche Gesellschaft für Palliativmedizin (Wiesbaden, 9. September 2020 - 12. September 2020)
In: Zeitschrift für Palliativmedizin 2020; 21(05) 2020
DOI: 10.1055/s-0040-1714998
URL: https://www.thieme-connect.com/products/ejournals/abstract/10.1055/s-0040-1714998#info
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Tietsch M., Muaremi A., Clay I., Kluge F., Hoefling H., Ullrich M., Küderle A., Eskofier B., Müller A.:
Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies
In: Digital Biomarkers 4 (2020), p. 50-58
ISSN: 2504-110X
DOI: 10.1159/000511611
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Ullrich M., Küderle A., Hannink J., Del Din S., Gaßner H., Marxreiter F., Klucken J., Eskofier B., Kluge F.:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies
In: IEEE Journal of Biomedical and Health Informatics 24 (2020), p. 1869 - 1878
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.2975361
URL: https://www.mad.tf.fau.de/files/2020/11/2020_ullrich_gaitsequencedetection.pdf
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Zrenner M., Küderle A., Roth N., Jensen U., Dümler B., Eskofier B.:
Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running?
In: Sensors 20 (2020), Article No.: 5705
ISSN: 1424-8220
DOI: 10.3390/s20195705
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2019

Abel L., Richer R., Küderle A., Gradl S., Eskofier B., Rohleder N.:
Classification of Acute Stress-Induced Response Patterns
EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19) (Trento, 20. May 2019 - 23. May 2019)
DOI: 10.1145/3329189.3329231
URL: https://www.mad.tf.fau.de/files/2019/05/2019-Abel-PervasiveHealth-StressResponsePatterns.pdf
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Adams Seewald L., Facco Rodrigues V., Ollenschläger M., Stoffel Antunes R., Andre da Costa C., da Rosa Righi R., da Silveira Junior LG., Maier A., Eskofier B., Fahrig R.:
Toward analyzing mutual interference on infrared-enabled depth cameras
In: Computer Vision and Image Understanding (2019)
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2018.09.010
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Aholt K., Martindale C., Küderle A., Gaßner H., Gladow T., Rojo J., Villanueva-Mascato S., Klucken J., Arredondo Waldmeyer MT., Eskofier B.:
A Mobile Solution for Rhythmic Auditory Stimulation Gait Training
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, 23. July 2019 - 27. July 2019)
In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
DOI: 10.1109/EMBC.2019.8857143
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Dorschky E., Nitschke M., Seifer AK., van den Bogert AJ., Eskofier B.:
Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
In: Journal of Biomechanics (2019)
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2019.07.022
URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
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Gladow T., Gaßner H., Ullrich M., Hannink J., Roth N., Marxreiter F., Küderle A., Kohl Z., Winkler J., Eskofier B., Klucken J.:
Sensor-based gait analysis distinguishes fallers from non-fallers in Parkinson's disease under clinical and real-life conditions
BibTeX: Download
Haji Ghassemi N., Hannink J., Roth N., Gaßner H., Marxreiter F., Klucken J., Eskofier B.:
Turning analysis during standardized test using on-shoe wearable sensors in parkinson’s disease
In: Sensors 19 (2019), Article No.: 3103
ISSN: 1424-8220
DOI: 10.3390/s19143103
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Kurz J., Tharmalingam V., Pryakhina N., Hunger A., Ollenschläger M., Eskofier B.:
A wearable obstacle detection system for visually impaired people
41st International Engineering in Medicine and Biology Conference (Berlin, 23. July 2019 - 27. July 2019)
In: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
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Martindale C., Roth N., Gaßner H., List J., Regensburger M., Eskofier B., Kohl Z.:
Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients
In: IEEE Journal of Biomedical and Health Informatics (2019)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2019.2937574
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Martindale C., Sprager S., Eskofier B.:
Hidden Markov Model-Based Smart Annotation for Benchmark Cyclic Activity Recognition Database Using Wearables
In: Sensors 198 (2019), Article No.: 1820
ISSN: 1424-8220
DOI: 10.3390/s19081820
URL: https://www.mdpi.com/1424-8220/19/8/1820
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Minakaki G., Canneva F., Chevessier F., Bode F., Menges S., Timotius I., Kalinichenko L., Meixner H., Müller CP., Eskofier B., Casadei N., Riess O., Schröder R., Winkler J., Xiang W., von Hörsten S., Klucken J.:
Treadmill exercise intervention improves gait and postural control in alpha-synuclein mouse models without inducing cerebral autophagy
In: Behavioural Brain Research 363 (2019), p. 199-215
ISSN: 0166-4328
DOI: 10.1016/j.bbr.2018.11.035
URL: https://www.sciencedirect.com/science/article/pii/S016643281830754X
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Nguyen A., Roth N., Haji Ghassemi N., Hannink J., Seel T., Klucken J., Gaßner H., Eskofier B.:
Correction to: Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease (J Neuroeng Rehabil (2019) 16:77 DOI: 10.1186/s12984-019-0548-2)
In: Journal of neuroEngineering and rehabilitation 16 (2019), Article No.: 98
ISSN: 1743-0003
DOI: 10.1186/s12984-019-0567-z
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Nguyen A., Roth N., Haji Ghassemi N., Hannink J., Seel T., Klucken J., Gaßner H., Eskofier B.:
Development and clinical validation of inertial sensor-based gait-clustering methods in Parkinson's disease
In: Journal of neuroEngineering and rehabilitation 16 (2019)
ISSN: 1743-0003
DOI: 10.1186/s12984-019-0548-2
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Timotius I., Canneva F., Minakaki G., Moceri S., Plank AC., Casadei N., Riess O., Winkler J., Klucken J., Eskofier B., von Hörsten S.:
Systematic data analysis and data mining in CatWalk gait analysis by heat mapping exemplified in rodent models for neurodegenerative diseases
In: Journal of Neuroscience Methods 326 (2019), Article No.: 108367
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2019.108367
URL: https://www.sciencedirect.com/science/article/pii/S0165027019302249
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Timotius I., Moceri S., Plank AC., Habermeyer J., Canneva F., Winkler J., Klucken J., Casadei N., Riess O., Eskofier B., von Hörsten S.:
Silhouette-Length-Scaled Gait Parameters for Motor Functional Analysis in Mice and Rats
In: eNeuro 6 (2019), Article No.: ENEURO.0100-19.2019
ISSN: 2373-2822
DOI: 10.1523/ENEURO.0100-19.2019
URL: https://www.eneuro.org/content/6/6/ENEURO.0100-19.2019
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Ullrich M., Hannink J., Gaßner H., Klucken J., Eskofier B., Kluge F.:
Unsupervised harmonic frequency-based gait sequence detection for Parkinson’s disease
IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Chicago, 19. May 2019 - 22. May 2019)
DOI: 10.1109/BHI.2019.8834660
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Vásquez-Correa JC., Klumpp P., Arias-Vergara T., Strauss M., Küderle A., Roth N., Bayerl S., García-Ospina N., Pérez Toro PA., Parra-Gallego LF., Rios-Urrego CD., Escobar-Grisales D., Orozco-Arroyave JR., Eskofier B., Nöth E.:
Apkinson: A mobile solution for multimodal assessment of patients with Parkinson's disease
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, 15. September 2019 - 19. September 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-8003
URL: https://www.isca-speech.org/archive/Interspeech_2019/abstracts/8003.html
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Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Athletes with chronic ankle instability demonstrate altered ankle angle variability during running compared to copers
Sportmotorik 2019. Adaptation, Lernen und virtuelle Welten (Bern, 16. January 2019 - 18. January 2019)
In: Klostermann, A., Vater, C., & Hossner, E.-J. (ed.): Abstractband zur 16. Jahrestagung der dvs-Sektion Sportmotorik 2019
DOI: 10.7892/boris.123517
URL: https://boris.unibe.ch/123517/
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Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Ankle angle variability during running in athletes with chronic ankle instability and copers
In: Gait & Posture 68 (2019), p. 329–334
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2018.11.038
URL: https://www.sciencedirect.com/science/article/pii/S096663621830345X
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Zrenner M., Feldner C., Jensen U., Richer R., Roth N., Eskofier B.:
Evaluation of foot kinematics during endurance running on different surfaces in real-world environments
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2018

Haji Ghassemi N., Hannink J., Martindale C., Gaßner H., Müller M., Klucken J., Eskofier B.:
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease.
In: Sensors 18 (2018)
ISSN: 1424-8220
DOI: 10.3390/s18010145
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Haji Ghassemi N., Hannink J., Martindale C., Gaßner H., Müller M., Klucken J., Eskofier B.:
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson’s Disease
In: Sensors (2018)
ISSN: 1424-8220
URL: http://www.mdpi.com/1424-8220/18/1/145
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Kluge F., Hannink J., Pasluosta CF., Klucken J., Gaßner H., Gelse K., Eskofier B., Krinner S.:
Pre-operative sensor-based gait parameters predict functional outcome after total knee arthroplasty
In: Gait & Posture 66 (2018), p. 194-200
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2018.08.026
URL: https://www.mad.tf.fau.de/files/2020/12/kluge_2018_gp_proof.pdf
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Martindale C., Roth N., Gaßner H., Jensen D., Kohl Z., Eskofier B.:
Mobile Gait Analysis Using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients
In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018
DOI: 10.1109/EMBC.2018.8513508
URL: https://www.mad.tf.fau.de/files/2018/09/embc2018_martindale.pdf
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Martindale C., Roth N., Hannink J., Sprager S., Eskofier B.:
Smart Annotation Tool for Multi-sensor gait based daily activity data
In: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) 2018
DOI: 10.1109/PERCOMW.2018.8480193
URL: https://www.mad.tf.fau.de/files/2018/09/percom2018_martindale.pdf
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Moceri S., Canneva F., Habermeyer J., Dobner J., Schulze-Krebs A., Puchades M., Bjaalie JG., Kohl Z., Winkler J., Timotius I., Eskofier B., Schilling S., Demuth HU., Hartlage-Rübsamen M., Rossner S., Casadei N., Riess O., von Hörsten S.:
Association of early phenotypic behavioral alterations in human alpha-synuclein overexpressing transgenic rats with alpha-synuclein/huntingtin/amyloid-beta protein cross-seeding
Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting (Torino, 15. March 2018 - 18. March 2018)
In: Advances in Alzheimer's and Parkinson's Therapies an AAT-AD/PD Focus Meeting 2018
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Nitschke M., Dorschky E., Seifer AK., Schlarb H., van den Bogert AJ., Eskofier B.:
Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
Summer School "Humans in Motion" (Heidelberg, 23. September 2018 - 28. September 2018)
URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
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Roth N., Martindale C., Gaßner H., Kohl Z., Klucken J., Eskofier B.:
Synchronized sensor insoles for clinical gait analysis in home-monitoring applications
DOI: 10.1515/cdbme-2018-0103
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Stoffel Antunes R., Adams Seewald L., Facco Rodrigues V., Facco Rodrigues V., Andre da Costa C., da Silveira Junior LG., da Rosa Righi R., Maier A., Eskofier B., Ollenschläger M., Naderi Boldaji F., Fahrig R., Bauer S., Klein S., Campanatti G.:
A Survey of Sensors in Healthcare Workflow Monitoring
In: ACM Computing Surveys 51 (2018), Article No.: 42
ISSN: 0360-0300
DOI: 10.1145/3177852
URL: https://dl.acm.org/citation.cfm?id=3177852
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Stromer D., Christlein V., Martindale C., Zippert P., Haltenberger E., Hausotte T., Maier A.:
Browsing through sealed historical manuscripts by using 3-D computed tomography with low-brilliance X-ray sources
In: Scientific Reports 8 (2018), p. 15335
ISSN: 2045-2322
DOI: 10.1038/s41598-018-33685-4
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stromer18-BTS.pdf
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Timotius I., Canneva F., Minakaki G., Moceri S., Casadei N., Riess O., Winkler J., von Hörsten S., Eskofier B., Klucken J.:
Systematic Data Analysis and Data Mining in Gait Analysis by Heat Mapping
11th International Conference on Methods and Techniques in Behavioral Research (Manchester, 5. June 2018 - 8. June 2018)
In: Robyn Grant, Tom Allen, Andrew Spink (ed.): Measuring Behavior 2018, UK: 2018
Open Access: https://www.measuringbehavior.org/mb2018/Publications
URL: https://www.measuringbehavior.org/mb2018/Publications
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Timotius I., Canneva F., Minakaki G., Pasluosta CF., Moceri S., Casadei N., Riess O., Winkler J., Klucken J., von Hörsten S., Eskofier B.:
Dynamic footprint based locomotion sway assessment in α-synucleinopathic mice using Fast Fourier Transform and Low Pass Filter
In: Journal of Neuroscience Methods 296 (2018), p. 1-11
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2017.12.004
URL: http://www.sciencedirect.com/science/article/pii/S0165027017304211
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Timotius I., Canneva F., Minakaki G., Pasluosta CF., Moceri S., Casadei N., Riess O., Winkler J., Klucken J., von Hörsten S., Eskofier B.:
Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis
In: Data in Brief 17 (2018), p. 189-193
ISSN: 2352-3409
DOI: 10.1016/j.dib.2017.12.067
URL: https://www.sciencedirect.com/science/article/pii/S2352340918300015
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Timotius I., Moceri S., Plank AC., Habermeyer J., Canneva F., Casadei N., Riess O., Winkler J., Klucken J., Eskofier B., von Hörsten S.:
Rodent’s Stride Length Depends on Body Size: Implications for CatWalk Assay
11th International Conference on Methods and Techniques in Behavioral Research (Measuring Behavior 2018) (Manchester, 5. June 2018 - 8. June 2018)
In: Robyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan (ed.): Measuring Behavior 2018, UK: 2018
Open Access: https://www.measuringbehavior.org/mb2018/Publications
URL: https://www.measuringbehavior.org/mb2018/Publications
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Ullrich M., Gladow T., Roth N., Küderle A., Ollenschläger M., Gaßner H., Winkler J., Klucken J., Eskofier B.:
FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk)
European Falls Festival 2018 (Manchester, 2. July 2018 - 3. July 2018)
In: European Falls Festival, 2nd and 3rd July 2018, Manchester, United Kingdom, ABSTRACT BOOKLET 2018
URL: http://eufallsfest.eu/documents/Abstract Booklet.pdf
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Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Unterschiede in der Sprunggelenksvariabilität beim Laufen zwischen Sportlern mit chronischer Instabilität und Copern
2. GAMMA Kongress (Hamburg, 9. February 2018 - 10. February 2018)
In: 2. GAMMA Kongress 2018
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Zrenner M., Gradl S., Jensen U., Ullrich M., Eskofier B.:
Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units
In: Sensors 18 (2018), Article No.: 4194
ISSN: 1424-8220
DOI: 10.3390/s18124194
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Zrenner M., Ullrich M., Zobel P., Jensen U., Laser F., Groh B., Dümler B., Eskofier B.:
Kinematic parameter evaluation for the purpose of a wearable running shoe recommendation
Body Sensor Networks Conference (BSN) (Las Vegas, 4. March 2018 - 7. March 2018)
In: IEEE (ed.): Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2018
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von Tscharner V., Ullrich M., Mohr M., Comaduran Marquez D., Nigg BM.:
A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns
In: PLoS ONE (2018)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0195125
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von Tscharner V., Ullrich M., Mohr M., Comaduran Marquez D., Nigg BM.:
Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units
In: Experimental Brain Research (2018)
ISSN: 0014-4819
DOI: 10.1007/s00221-018-5356-6
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2017

Christian J., Kluge F., Eskofier B., Schwameder H.:
Comparison of different marker sets for marker trajectory and principal component analysis based classification of simulated gait impairments
In: Journal of Biomedical Engineering and Informatics 3 (2017), p. 10-17
ISSN: 2377-9381
DOI: 10.5430/jbei.v3n1p10
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Eskofier B., Lee SI., Manuela B., Simon A., Martindale C., Gaßner H., Klucken J.:
An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring
In: Applied Sciences 7 (2017), Article No.: 986
ISSN: 2076-3417
DOI: 10.3390/app7100986
URL: http://www.mdpi.com/2076-3417/7/10/986
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Gelse K., Knorz S., Kluge F., Hotfiel T., Eskofier B., Krinner S.:
„Natural Running“: Biomechanischer Vergleich von Vorfuß- oder Rückfußlauf
GOTS 2017 (Berlin)
In: Sports Orthopaedics and Traumatology 2017
DOI: 10.1016/j.orthtr.2017.03.074
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Groh B., Warschun F., Deininger M., Kautz T., Martindale C., Eskofier B.:
Automated Ski Velocity and Jump Length Determination in Ski Jumping Based on Unobtrusive and Wearable Sensors
In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1 (2017), Article No.: 53
ISSN: 2474-9567
DOI: 10.1145/3130918
URL: https://www.mad.tf.fau.de/files/2017/10/2017-Groh-IMWUT-ASV.pdf
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Hannink J., Kluge F., Gaßner H., Klucken J., Eskofier B.:
Quantifying postural instability in Parkinsonian gait from inertial sensor data during standardised clinical gait tests
In: 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN), 2017, p. 129-132
DOI: 10.1109/BSN.2017.7936024
URL: http://ieeexplore.ieee.org/document/7936024/
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Hannink J., Ollenschläger M., Kluge F., Roth N., Klucken J., Eskofier B.:
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis.
In: Sensors 17 (2017)
ISSN: 1424-8220
DOI: 10.3390/s17091940
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Kluge F., Eskofier B.:
Letter to the Editor regarding “Gait recording with inertial sensors – How to determine initial and terminal contact”
In: Journal of Biomechanics (2017), p. 183-184
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2016.07.043
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Kluge F., Eskofier B.:
Letter to the Editor regarding "Gait recording with inertial sensors - How to determine initial and terminal contact" by Bötzel and colleagues.
In: Journal of Biomechanics 52 (2017), p. 183-184
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2016.07.043
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Kluge F., Gaßner H., Hannink J., Pasluosta CF., Klucken J., Eskofier B.:
Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters
In: Sensors 17 (2017), p. 1522
ISSN: 1424-8220
DOI: 10.3390/s17071522
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Kluge F., Krinner S., Lochmann M., Eskofier B.:
Speed dependent effects of laterally wedged insoles on gait biomechanics in healthy subjects
In: Gait & Posture 55 (2017), p. 145-149
ISSN: 0966-6362
DOI: 10.1016/j.gaitpost.2017.04.012
URL: https://www.mad.tf.fau.de/files/2020/12/kluge_2017_gp_proof.pdf
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Knorz S., Kluge F., Gelse K., Schulz-Drost S., Hotfiel T., Lochmann M., Eskofier B., Krinner S.:
Three-Dimensional Biomechanical Analysis of Rearfoot and Forefoot Running
In: Orthopaedic Journal of Sports Medicine 5 (2017), Article No.: 232596711771906
ISSN: 2325-9671
DOI: 10.1177/2325967117719065
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Martindale C., Heymans S., Suler A., Antonios P., Dickinson R., Choi J.:
Simultaneous Ultrasound Therapy and Monitoring of Microbubble-Seeded Acoustic Cavitation Using a Single-Element Transducer
In: IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 64 (2017), p. 1234 - 1244
ISSN: 0885-3010
DOI: 10.1109/TUFFC.2017.2718513
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Martindale C., Hönig FT., Strohrmann C., Eskofier B.:
Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models
In: Sensors 17 (2017)
ISSN: 1424-8220
DOI: 10.3390/s17102328
URL: http://www.mdpi.com/1424-8220/17/10/2328
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Martindale C., Strauss M., Gaßner H., List J., Müller M., Klucken J., Kohl Z., Eskofier B.:
Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia
Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE (Jeju Island, South Korea, 11. July 2017 - 15. July 2017)
In: Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE 2017
DOI: 10.1109/EMBC.2017.8037062
URL: https://www.mad.tf.fau.de/files/2018/09/embc2017_martindale.pdf
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Wanner P., Schmautz T., Kluge F., Eskofier B., Pfeifer K., Steib S.:
Sportler mit Sprunggelenksinstabilität weisen im Vergleich zu Copern keine Veränderungen der Sprunggelenkskinematik beim Laufen auf
In: Schwirtz, A., Mess, F., Demetriou, Y. & Senner, V. (Hrsg.) (ed.): Innovation & Technologie im Sport. Abstractband des 23. dvs-Hochschultags vom 13. bis 15. September 2017 in München, Hamburg: Feldhaus, 2017, p. 206
ISBN: 978-3-88020-655-7
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2016

Christian J., Kluge F., Eskofier B., Schwameder H.:
Comparison of different marker sets for marker trajectory based classification of simulated gait impairments
21st Annu. Congr. Eur. Coll. Sport Sci. 2016 (Wien)
DOI: 10.5430/jbei.v3n1p10
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Haji Ghassemi N., Marxreiter F., Pasluosta CF., Schlachetzki J., Schramm A., Eskofier B., Klucken J.:
Combined Accelerometer and EMG Analysis to Differentiate Essential Tremor from Parkinson’s Disease
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE Engineering in Medicine and Biology Society EMBC'16 (Orlando)
In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society of the IEEE Engineering in Medicine and Biology Society EMBC'16 2016
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Kaufhold C., Martindale C., Horndasch A., Reinhard K., Nöth E.:
PATSY-I: A Corpus on Non-Native English Air Traffic Communication
12. Tagung Phonetik und Phonologie im deutschsprachigen Raum (Munich, 13. October 2016 - 14. October 2016)
In: Draxler, Christoph; Kleber, Felicitas (ed.): Tagungsband der 12. Tagung Phonetik und Phonologie im deutschsprachigen Raum 2016
DOI: 10.5282/ubm/epub.29405
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Kaufhold16-PAC.pdf
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Kirchner J., Roth N., Meyer A., Fischer G.:
ECG Measurement by Use of Passive Capacitively Coupled Electrodes
IEEE Sensors (Orlando, FL, 30. October 2016 - 2. November 2016)
In: Proc. IEEE Sensors Conf. 2016
DOI: 10.1109/ICSENS.2016.7808736
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Kluge F., Pasluosta CF., Gaßner H., Klucken J., Eskofier B.:
MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking - A Study Protocol
In: Advanced Engineering Forum 19 (2016), p. 149-155
ISSN: 2234-9898
DOI: 10.4028/www.scientific.net/AEF.19.149
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Knorz S., Krinner S., Kluge F., Lochmann M., Hennig F., Gelse K.:
Natural Running: Biomechanischer Vergleich von Vorfuß- und Rückfußlauf
German Congress of Orthopaedics and Traumatology (DKOU 2016) (Berlin, 25. October 2016 - 28. October 2016)
DOI: 10.3205/16dkou721
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Martindale C., Wirth M., Schneegas S., Zrenner M., Groh B., Blank P., Schuldhaus D., Kautz T., Eskofier B.:
Workshop on wearables for sports
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (Heidelberg, 12. September 2016 - 16. September 2016)
In: 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing 2016
DOI: 10.1145/2968219.2968583
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Reymann M., Dorschky E., Groh B., Martindale C., Blank P., Eskofier B.:
Blood glucose level prediction based on support vector regression using mobile platforms
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, Florida, USA, 16. August 2016 - 19. August 2016)
In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016
DOI: 10.1109/EMBC.2016.7591358
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Reymann-EMBC-BGL.pdf
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Richer R., Groh B., Blank P., Dorschky E., Martindale C., Klucken J., Eskofier B.:
Unobtrusive Real-time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (San Francisco, CA, 14. June 2016 - 17. June 2016)
In: IEEE (ed.): 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2016
DOI: 10.1109/BSN.2016.7516257
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Richer-BSN-URH.pdf
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Saffoury R., Blank P., Seßner J., Groh B., Martindale C., Dorschky E., Franke J., Eskofier B.:
Blind Path Obstacle Detector using Smartphone Camera and Line Laser Emitter
International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) (Vila Real, Portugal, 1. December 2016 - 3. December 2016)
DOI: 10.1109/TISHW.2016.7847770
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Saffoury-BPO.pdf
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Zhou B., Wirth M., Koerger H., Zwick C., Martindale C., Cruz H., Eskofier B., Lukowicz P.:
Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix
The 20th International Conference on Symposium on Wearable Computers (Heidelberg, 14. September 2016 - 16. September 2016)
In: The 20th International Conference on Symposium on Wearable Computers 2016
DOI: 10.1145/2971763.2971784
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2015

Hebenstreit F., Leibold A., Krinner S., Welsch G., Lochmann M., Eskofier B.:
Speed modelling of relative gait phase durations.
XXV Congress of the International Society of Biomechanics (Glasgow, 12. July 2015 - 16. July 2015)
In: XXV Congress of the International Society of Biomechanics 2015
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Hebenstreit F., Leibold A., Krinner S., Welsch G., Lochmann M., Eskofier B.:
Effect of walking speed on gait sub phase durations
In: Human Movement Science 43 (2015), p. 118-24
ISSN: 0167-9457
DOI: 10.1016/j.humov.2015.07.009
URL: https://www.mad.tf.fau.de/files/2020/12/hebenstreit_2015_hms_proof2.pdf
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Quast M., Hebenstreit F., Lochmann M.:
Biomechanical efficacy profile of different shoe sole constructions
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Setyawan I., Timotius I., Kalvin M.:
Automatic Batik Motifs Classification using Various Combinations of SIFT Features Moments and k-Nearest Neighbor
International Conference on Information Technology and Electrical Engineering (Chiang Mai)
In: International Conference on Information Technology and Electrical Engineering 2015
DOI: 10.1109/ICITEED.2015.7408954
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2014

Haji Ghassemi N., Deisenroth M.:
Analytic long-term forecasting with periodic Gaussian processes
Proc. of AISTATS
In: Proc. of AISTATS 2014
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Hebenstreit F., Merklein S., Welsch G., Lochmann M., Eskofier B.:
Comparison of a threshold and a DTW based algorithm for automatic jump segmentation
13th International Symposium on 3D Analysis of Human Movement (3D-AHM) (Lausanne, 14. July 2014 - 17. July 2014)
In: 13th International Symposium on 3D Analysis of Human Movement (3D-AHM) 2014
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Hebenstreit14-COA.pdf
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Martindale C., Gaunt CT., Verrinder R.:
Proof of concept data logger for non-active power measurement
In: 49th International Universities Power Engineering Conference (UPEC) 2014
DOI: 10.1109/UPEC.2014.6934627
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Prakoso BS., Timotius I., Setyawan I.:
Palmprint Identification for User Verification based on Line Detection and Local Standard Deviation
The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) (Semarang)
In: The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) 2014
DOI: 10.1109/ICITACEE.2014.7065733
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7065733
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Reis P., Hebenstreit F., Gabsteiger F., von Tscharner V., Lochmann M.:
Methodological aspects of EEG and body dynamics measurements during motion
In: Frontiers in Human Neuroscience 1 (2014), p. 156-175
ISSN: 1662-5161
DOI: 10.3389/fnhum.2014.00156
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Royce E., Setyawan I., Timotius I.:
Smile Recognition System based on Lip Corners Identification
The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) (Semarang)
In: The 1st International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE 2014) 2014
DOI: 10.1109/ICITACEE.2014.7065746
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7065746
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Schwarzmeier A., Roth N., Weigel R., Fischer G., Kissinger D.:
A Fall Detection and Activity Monitoring Algorithm for a Tele-Care System Supporting Dementia and Alzheimer Patients
In: BMT 2014 - 48. Jahrestagung der DGBMT 2014
DOI: 10.1515/bmt-2014-4100
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Setyawan I., Timotius I.:
Digital Image Hashing using Local Histogram of Oriented Gradients
The 6th International Conference on Information Technology and Electrical Engineering (ICITEE 2014) (Yogyakarta)
In: The 6th International Conference on Information Technology and Electrical Engineering (ICITEE 2014) 2014
DOI: 10.1109/ICITEED.2014.7007903
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7007903
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Setyawan I., Timotius I.:
Spatio--Temporal Digital Video Hashing using Edge Orientation Histogram and Discrete Cosine Transform
International Conference on Information Technology Systems and Innovation (Bandung)
In: International Conference on Information Technology Systems and Innovation 2014
DOI: 10.1109/ICITSI.2014.7048247
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7048247
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Timotius I., Setyawan I.:
Evaluation of Edge Orientation Histograms in Smile Detection
The 6th International Conference on Information Technology and Electrical Engineering (ICITEE 2014) (Yogyakarta)
In: The 6th International Conference on Information Technology and Electrical Engineering (ICITEE 2014) 2014
DOI: 10.1109/ICITEED.2014.7007905
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7007905
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Timotius I., Setyawan I.:
Using Edge Orientation Histograms in Face--based Gender Classification
International Conference on Information Technology Systems and Innovation (Bandung)
In: International Conference on Information Technology Systems and Innovation 2014
DOI: 10.1109/ICITSI.2014.7048244
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7048244
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2013

Berger E., Vogt D., Haji Ghassemi N., Jung B., Ben Amor H.:
Inferring guidance information in cooperative human-robot tasks
Humanoid Robots (Humanoids), 2013 13th IEEE-RAS International Conference on
In: Inferring guidance information in cooperative human-robot tasks 2013
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Hebenstreit F., Eskofier B., Blanke M., Lochmann M.:
Statistische Analyse Ensemble-gemittelter zyklischer Bewegungsdaten
Neue Ansätze in der Bewegungsforschung (Technische Universität Chemnitz, 13. March 2013 - 15. March 2013)
In: Deutsche Vereinigung für Sportwissenschaft, Sektion Biomechanik (ed.): Proceeding of: Tagung Deutsche Vereinigung für Sportwissenschaft, Sektion Biomechanik 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Hebenstreit13-SAE.pdf
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Jakob C., Kugler P., Hebenstreit F., Reinfelder S., Jensen U., Schuldhaus D., Lochmann M., Eskofier B.:
Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors
8th International Conference on Body Area Networks (Boston, MA, USA, 30. September 2013 - 2. October 2013)
In: IEEE (ed.): BodyNets 2013 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Jakob13-EOT.pdf
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Leutheuser H., Gabsteiger F., Hebenstreit F., Reis P., Lochmann M., Eskofier B.:
Comparison of the AMICA and the InfoMax Algorithm for the Reduction of Electromyogenic Artifacts in EEG Data
35th Annual International Conference of the IEEE EMBS (Osaka, 3. July 2013 - 7. July 2013)
In: Engineering in Medicine and Biology Society (ed.): IEEE EMBC 2013 2013
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Leutheuser13-COT.pdf
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Martindale C.:
Proof of concept data logger for non-active power (Master thesis, 2013)
URL: https://open.uct.ac.za/handle/11427/5170
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Setyawan I., Timotius I.:
Content-Dependent Spatio-Temporal Video Watermarking using 3-Dimensional Discrete Cosine Transform
The 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013) (Yogyakarta)
In: The 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013) 2013
DOI: 10.1109/ICITEED.2013.6676215
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6676215
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Timotius I., Setyawan I.:
Using Estimated Arithmetic Means of Accuracies to Select Features for Face--based Gender Classification
The 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013) (Yogyakarta)
In: The 5th International Conference on Information Technology and Electrical Engineering (ICITEE 2013) 2013
DOI: 10.1109/ICITEED.2013.6676246
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6676246
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2012

Timotius I., Miaou SG., Valdeavilla EB., Liu YH.:
Abnormality Detection for Capsule Endoscope Images Based on Support Vector Machines
In: Biomedical Engineering-Applications Basis Communications 24 (2012), p. 71 - 83
ISSN: 1016-2372
DOI: 10.4015/S1016237212002962
URL: http://www.worldscientific.com/doi/abs/10.4015/S1016237212002962
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2011

Lionnie R., Timotius I., Setyawan I.:
An analysis of edge detection as a feature extractor in a hand gesture recognition system based on nearest neighbor
2011 International Conference on Electrical Engineering and Informatics (ICEEI) (Bandung)
In: 2011 International Conference on Electrical Engineering and Informatics (ICEEI) 2011
DOI: 10.1109/ICEEI.2011.6021611
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6021611
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Setyawan I., Putra AF., Timotius I., Febrianto AA.:
Face recognition using Kernel Fisher's Discriminant Analysis and nearest neighbor
2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (Bali, 20. October 2011 - 21. October 2011)
DOI: 10.1109/TSSA.2011.6095396
URL: http://ieeexplore.ieee.org/document/6095396/
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Setyawan I., Wibowo Y., Timotius I., Febrianto AA.:
A human face detection system based on Schneiderman-Kanade method
2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (Bali, 20. October 2011 - 21. October 2011)
DOI: 10.1109/TSSA.2011.6095395
URL: http://ieeexplore.ieee.org/document/6095395/
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Timotius I., Linasari TC., Setyawan I., Febrianto AA.:
Face recognition using support vector machines and generalized discriminant analysis
2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (Bali)
In: 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA) 2011
DOI: 10.1109/TSSA.2011.6095397
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6095397
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2010

Timotius I., Miaou SG.:
Arithmetic Means of Accuracies: A Classifier Performance Measurement for Imbalanced Data Set
International Conference on Audio, Language and Image Processing (ICALIP 2010) (Shanghai)
In: International Conference on Audio, Language and Image Processing (ICALIP 2010) 2010
DOI: 10.1109/ICALIP.2010.5685124
URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5685124
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2009

Miaou SG., Chang FL., Timotius I., Huang HC., Su JL., Liao RS., Lin TY.:
A Multi-Stage Recognition System to Detect Different Types of Abnormality in Capsule Endoscope Images
In: Journal of Medical and Biological Engineering 29 (2009), p. 114 - 121
ISSN: 1609-0985
URL: http://jmbe.bme.ncku.edu.tw/index.php?action=archives2&no=363
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Alumni

Christine Martindale, M. Sc.

Ivanna Timotius, M. Sc.

Jesus David Ceron Bravo, Dr.

Nooshin Haji Ghassemi, M. Sc.

Completed Projects

Running Projects