Felix Kluge › Machine Learning and Data Analytics Lab

Dr.-Ing. Felix Kluge

Department of Computer Science
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85 27921
Email: felix.kluge@fau.de
Website: https://www.mad.tf.fau.de/person/felix-kluge/

I currently lead the “Digital Health – Gait Analytics” group.

My research motivation is the improvement of patients’ quality of life by using new digital technologies to early diagnose diseases, predict interventional outcomes and model disease progression. Hereby I aim to develop wearable technology to assess health using long-term home monitoring systems in the real world. Potential symptoms include, but are not limited to, movement disorders. To allow secure and safe data handling, appropriate data and analysis infrastructures need to be researched upon which allow researchers and clinicians to analyze the obtained multimodal data. The application of artificial intelligence, such as machine learning methods which learn from the obtained data, will allow to mine this real world data for potential symptom patterns for improved diagnostics. The overall goal is the development and validation of new mobile digital outcomes that can complement current clinical diagnostics.

Find me on social media: Twitter | Google Scholar | ResearchGate | LinkedIn

Since September 2018
Researcher at the Machine Learning & Data Analytics Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany
July 2012 – September 2018
PhD candidate at the Machine Learning & Data Analytics Lab (formerly Digital Sports Group), Friedrich-Alexander-University Erlangen-Nuremberg, Germany
2012
M.Sc. (Physics) at the University of Marburg, Germany
2009-2010
International Student at the University of Uppsala, Sweden
2009
B.Sc. (Physics) at the University of Göttingen, Germany

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
BibTeX: Download
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
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
BibTeX: Download
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 (2020)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.2975361
URL: https://ieeexplore.ieee.org/document/9005168
BibTeX: Download
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
BibTeX: Download
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/
BibTeX: Download
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
BibTeX: Download
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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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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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
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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
BibTeX: Download
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
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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/
BibTeX: Download
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
BibTeX: Download
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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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
BibTeX: Download
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
BibTeX: Download
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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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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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
BibTeX: Download
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
BibTeX: Download
Quast M., Hebenstreit F., Lochmann M.:
Biomechanical efficacy profile of different shoe sole constructions
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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
BibTeX: Download
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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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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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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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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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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Dr.-Ing. Felix Kluge

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