Musculoskeletal modeling has gained popularity over the last decade as it represents a valuable tool to noninvasively investigate the relationship between body motion and internal biomechanical loads. Furthermore, it allows the simulation of motion sensor data, which is subsequently considered as input for gait marker estimation algorithms, which enables for personalized wearable system design.
The seminar aims to estimate the performance of wearable motion sensors from biomechanical models/ simulations and sensor data synthesis. Therefore, existing techniques developed at the chair should be further developed
- Learn concepts of musculoskeletal modeling
- Learn concepts of synthesizing data from biomechanical models
- Apply gait marker estimations
- Develop corresponding algorithms
|Period||Winter term 2020/21|
|Presense time||Virtual seminar, working from remote|
|Useful knowledge||Python, 3D modeling, Biomechanics & Anatomy|
|Work distribution||70% algorithm development, 30% simulation|
|Med. Eng. designation||Advanced Context Recognition (ACR)|
|First meeting||online-introduction-vorbesprechung-of-winter-term-2020-seminars, on 4th November 2020 at 16:15|
|Registration||Via StudOn, obligatory after introduction|
Up-to-date literature recommendations are provided during the meetings.
Final presentation and final report.