Seminar: Musculoskeletal Modeling & Gait Marker Estimation
Background
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.
Aim
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
Learning Objectives
-
- Learn concepts of musculoskeletal modeling
- Learn concepts of synthesizing data from biomechanical models
- Apply gait marker estimations
- Develop corresponding algorithms
Data
| Project type | Seminar |
| ECTS | 5 |
| Language | English |
| 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) |
| StudOn link | |
| First meeting | online-introduction-vorbesprechung-of-winter-term-2020-seminars, on 4th November 2020 at 16:15 |
| Registration | Via StudOn, obligatory after introduction |
Literature
Up-to-date literature recommendations are provided during the meetings.
Examination
Final presentation and final report.
Contact
Lena Uhlenberg
- Job title: Researcher
- Address:
Henkestraße 91, Haus 7, 1. OG
91052 Erlangen
Germany - Phone number: +49 9131 85-23605
- Email: lena.uhlenberg@fau.de