MotionLab@Home

Project leader: Björn Eskofier
Project members: Jochen Klucken, Heiko Gaßner, Felix Kluge, Cristian Federico Pasluosta
Start date: 10/01/15
End date: 12/31/16
Funding source: Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst (ab 10/2013) / Forschungsverbund

Abstract

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.

Publications

• Kluge F., Pasluosta CF., Gaßner H., Klucken J., Eskofier B.:
  MotionLab@Home: Complementary Measurement of Gait Characteristics Using Wearable Technology and Markerless Video Tracking - A Study Protocol
  In: Advanced Engineering Forum 19 (2016), p. 149-155
  ISSN: 2234-9898
  DOI: 10.4028/www.scientific.net/AEF.19.149
  BibTeX: Download
• Kluge F., Gaßner H., Hannink J., Pasluosta CF., Klucken J., Eskofier B.:
  Towards Mobile Gait Analysis: Concurrent Validity and Test-Retest Reliability of an Inertial Measurement System for the Assessment of Spatio-Temporal Gait Parameters
  In: Sensors 17 (2017), p. 1522
  ISSN: 1424-8220
  DOI: 10.3390/s17071522
  BibTeX: Download