Sports Analytics
The Sports Analytics group applies different methods in the fields of Machine Learning, Signal Processing, Wearables and Human-Computer Interaction to analyze and predict human motion and performance. To gain deeper insights into the behaviour of athletes in specific sports like running, soccer or volleyball, we conduct in-the-wild and lab studies using inertial measurement units (IMUs), motion capture systems, video, and extended realities. The group also utilizes extended realities to simulate training scenarios and applies them to various fields of application like therapy or performance improvement. Our research contributes to the development of more precise analysis tools in sports and rehabilitation and thus makes the assessment and training more efficient. This can lead to an increase in performance but also help to recognize harmful movement patterns for the prevention of injuries.
Group Head
Group Members
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.
- Antonia Deyerberg
Unsupervised Personalization of Activity Recognition in Football - Antonia Steger
The Mobile VR-Amblyopia Trainer. An Android Based VR-Game for the Treatment of Amblyopia. - Birte Höft
Implementing an augmented reality application to improve stereoscopic vision - Fabian Hirn
Investigating the Expected Goals Metric using Biomechanical Features gained from Pose Estimation - Fabian Löbel
Comparing interaction modalities in eye-tracking based perimetry using a Virtual Reality headset. - Florian Schleicher
Color based BCI Interaction - Classification of Color based on Power Bands from EEG Data - Franka Risch
Measurement of Ocular Deviation with an VR Hess Screen Test Using Eye Tracking - Jaromir Vogt
VR-based tool for mTBI detection using stereopsis performance and eye-tracking data - Juliana Klein
Development of Algorithms for Computing Knee Stability Parameters Using a Sensor Equipped Knee Sleeve - Lucas Wittmann
Measuring Motivation in Sports: A Machine Learning Approach to Analyse the Effect of Gamification on Biosignals and Motivation in Sport - Luis Durner
- Lukas Heine
AI – driven golf swing analysis and improvement - Oliver Korn
(Re-)Eye-dentification based on pupillometry data from eye trackers in a VR environment - Robin Modisch
Immersive Gesture-Based Human Robot Interaction in MR - Roland Stolz
Athlete Identification and Personel Profile Creation based on Movement Sensor Data - Roobesh Balaji
A Multimodal Approach to Analyze the Relation Between Motivation and Performance in Soccer - Sangeetha Chelottillam
Machine learning analysis of factors affecting motivation and performance in recreational running - Timur Perst
Transfer Learning for Activity Recognition in Ultimate Frisbee - Verena Enzenhöfer
- Vishaal Saravanan
Multimodal machine learning for calving detection
Projects
- Assessment and Improvement of Mental Health
- Connected Movement
- Development of Sensor System for Dry Training in Biathlon
- Diagnostic Imaging in Virtual Reality
- Digital Sports Bavaria
- Digital Sports Hub
- Digital Twin
- Digital Vision Trainer
- ESI@Fitness
- Match data-based performance indicators in professional football
- miLife
- Performance Analysis in Team Sports
- VR Amblyopia Trainer
- VR – Oculomotor Test System
2026
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Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching
2nd International Conference on Artificial Intelligence on Healthcare, AIiH 2025 (Cambridge, 8. September 2025 - 10. September 2025)
In: Daniele Cafolla, Timothy Rittman, Hao Ni (ed.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-00652-3_17
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2025
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Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions
In: Frontiers in Bioengineering and Biotechnology 13 (2025), Article No.: 1507162
ISSN: 2296-4185
DOI: 10.3389/fbioe.2025.1507162
BibTeX: Download - , , , , , , , :
Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data
In: IEEE Journal of Microwaves 5 (2025), p. 1-15
ISSN: 2692-8388
DOI: 10.1109/JMW.2025.3535525
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BioMAC-Sim-Toolbox: A MATLAB toolbox for biomechanical motion analysis and creation through simulation
In: Journal of Open Source Software 10 (2025), p. 7945
ISSN: 2475-9066
DOI: 10.21105/joss.07945
BibTeX: Download - , , :
Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching
DOI: 10.1007/978-3-032-00652-3
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2024
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Machine Learning Approach for Touchless Radar-based Detection of Life and Death
13th World Research Congress of the European Association for Palliative Care (Barcelona, Spain, 16. May 2024 - 18. May 2024)
In: The Congress book: The 13th World Research Congress of the European Association for Palliative Care 2024
DOI: 10.1177/02692163241242338
URL: https://journals.sagepub.com/doi/full/10.1177/02692163241242338
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Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study
In: Sensors 24 (2024), Article No.: 4694
ISSN: 1424-8220
DOI: 10.3390/s24144694
BibTeX: Download - , , , , , , :
The Influence of Gamification on Motivation and Cardiac Variables in Soccer
29th Annual Congress of the European College of Sport Science (Glasgow, Scotland, UK, 2. July 2024 - 5. July 2024)
In: Book of Abstracts of the 29th Annual Congress of the European College of Sport Science 2024
URL: https://www.ecss.mobi/DATA/CONGRESSES/GLASGOW_2024/DOCUMENTS/2024_BOA_Web.pdf
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A digital twin to overcome long-time challenges in photovoltaics
In: Joule 8 (2024), p. 1-17
ISSN: 2542-4351
DOI: 10.1016/j.joule.2023.12.010
BibTeX: Download - , , , , , :
End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data
Asilomar Conference on Signals, Systems, and Computers
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Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
In: Frontiers in Bioengineering and Biotechnology 12 (2024)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2024.1285845
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Step Length and Gait Speed Estimation using A Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms
In: IEEE Journal of Biomedical and Health Informatics (2024)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2024.3454824
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2023
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Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer
In: IEEE Sensors Letters 7 (2023), Article No.: 7004904
ISSN: 2475-1472
DOI: 10.1109/LSENS.2023.3307122
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Optimal Control and Machine Learning in Biomechanics: Hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing (Dissertation, 2023)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21325
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Perspective on “in the wild” movement analysis using machine learning
In: Human Movement Science 87 (2023), Article No.: 103042
ISSN: 0167-9457
DOI: 10.1016/j.humov.2022.103042
BibTeX: Download - Braun R, Lensch PA, Ludwig N:
Glacier Movement Prediction with Attention-based Recurrent Neural Networks and Satellite Data
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems (New Orleans, 10. December 2023 - 16. December 2023)
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EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
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2022
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How many sensors are enough? Trajectory optimization using sparse inertial sensor sets
9th World Congress of Biomechanics 2022 Taipei (Taipei, 10. July 2022 - 14. July 2022)
URL: https://www.youtube.com/watch?v=TznVCgK4DF0
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2021
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Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis
6th International Congress on Complex Systems in Sports (ICCSS) (Mainz, Germany, 15. September 2021 - 17. September 2021)
BibTeX: Download - , , , , :
Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors
XXVIII Congress of the International Society of Biomechanics (ISB) (Online, 25. July 2021 - 29. July 2021)
URL: https://www.mad.tf.fau.de/files/2021/07/nitschke_isb_2021_abstract.pdf
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Prediction of the effect of midsole stiffness and energy return using trajectory optimisation
15th biennial Footwear Biomechanics Symposium (Online, 21. July 2021 - 23. July 2021)
In: Footwear Science 2021
DOI: 10.1080/19424280.2021.1917684
URL: https://www.mad.tf.fau.de/files/2023/05/FBS_2021_SoftvsEnergy_Submission_AOM_Declaration.pdf
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2020
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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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Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics
In: Scientific Reports (2020), Article No.: 17655
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73856-w
URL: https://www.nature.com/articles/s41598-020-73856-w
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2019
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Optimal control simulation predicts effects of midsole materials on energy cost of running
In: Computer Methods in Biomechanics and Biomedical Engineering (2019)
ISSN: 1025-5842
DOI: 10.1080/10255842.2019.1601179
URL: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
BibTeX: Download - , , , , :
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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Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics
Dynamic Walking 2019 (Canmore, Alberta, 3. June 2019 - 6. June 2019)
In: 14th Annual Dynamic Walking Conference 2019 2019
URL: https://www.mad.tf.fau.de/files/2019/05/Nitschke_Dynamic_Walking.pdf
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2018
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A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait
In: Computer Methods in Biomechanics and Biomedical Engineering 21 (2018), p. 521 - 531
ISSN: 1025-5842
DOI: 10.1080/10255842.2018.1490954
BibTeX: Download - , , , , , :
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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2016
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Predicting the Effects of Midsole Materials on Running Using Optimal Control Simulation
Dynamic Walking 2016 (Holly, Michigan, 4. June 2016 - 7. June 2016)
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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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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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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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2015
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A framework for early event detection for wearable systems
International Symposium on Wearable Computers (Osaka)
In: Proceedings of the 2015 ACM International Symposium on Wearable Computers 2015
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Predictive Musculoskeletal Simulation of Uphill and Downhill Running
20th Annual Congress of the European College of Sport Science (Malmö - Schweden, 24. June 2015 - 27. June 2015)
In: Book of Abstracts of the 20th Annual Congress of the European College of Sport Science 2015
BibTeX: Download - , , , , , :
Inertial Sensor-Based Approach for Shot/Pass Classification During a Soccer Match
KDD Workshop on Large-Scale Sports Analytics 2015 (Sydney, 10. August 2015 - 13. August 2015)
In: SIGKDD (ed.): 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015
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