Seminar: Musculoskeletal Modeling & Gait Marker Estimation

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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

Learning Objectives

    • Learn concepts of musculoskeletal modeling
    • Learn concepts of synthesizing data from biomechanical models
    • Apply gait marker estimations
    • Develop corresponding algorithms


Project type Seminar
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


Up-to-date literature recommendations are provided during the meetings.


Final presentation and final report.


Lena Uhlenberg

  • Job title: Researcher
  • Address:
    Henkestraße 91, Haus 7, 1. OG
    91052 Erlangen
  • Phone number: +49 9131 85-23605
  • Email:

Friedrich-Alexander-Universität Erlangen-Nürnberg