MotionLab@Home: Multimodal movement analysis system for therapy monitoring

Third Party Funds Group - Sub project

Overall project details

Overall project: E-Home-Center

Overall project speaker:
Prof. Dr.-Ing. Jörg Franke (Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik)

Project Details

Project leader:
Prof. Dr. Björn Eskofier

Project members:
Prof. Dr. Jochen Klucken
Dr.-Ing. Felix Kluge
Cristian Federico Pasluosta, Ph.D.
Dr. phil. Heiko Gaßner

Contributing FAU Organisations:
Lehrstuhl für Systematische Theologie I (Dogmatik)
Molekular-Neurologische Abteilung in der Neurologischen Klinik
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports)

Funding source: Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst (ab 10/2013) / Forschungsverbund
Start date: 01/10/2015
End date: 31/12/2016

Abstract (technical / expert description):

A current challenge is the transfer of mobile sensor-based gait analysis systems from clinical settings to the home environment to capture movement parameters and their changes (for example due to medication) in everyday life. The goal of this project is to build a complementary, video and sensor based system which can be used to evaluate long-term monitoring of interventions in Parkinson's Disease in the home-environment. Ethical aspects of home-monitoring are especially taken into consideration in the development phase. The sensor system will be based on the eGaIT system ("embedded Gait analysis using Intelligent Technology) and a markerless video-capturing system. Ethical research is performed to consider potential issues within this scope.


Kluge, F., Gaßner, H., Hannink, J., Pasluosta, C.F., Klucken, J., & Eskofier, B. (2017). Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters. Sensors, 17(7), 1522.
Kluge, F., Pasluosta, C.F., Gaßner, H., Klucken, J., & Eskofier, B. (2016). MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking - A Study Protocol. Advanced Engineering Forum, 19, 149-155.

Last updated on 2019-11-03 at 11:09