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Departments >> Faculty of Engineering >> Department of Computer Science >> Chair of Computer Science 5 (Pattern Recognition) >>
MotionLab@Home: Multimodales Bewegungsanalysesystem zum Therapiemonitoring

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.
Project manager:
Prof. Dr. Björn Eskofier

Project participants:
Prof. Dr. Jochen Klucken, Dr.-Ing. Felix Kluge, Dr. Cristian Pasluosta, PD Dr. Heiko Gaßner, Prof. Dr. theol. habil. Arne Manzeschke

Keywords:
Parkinson; individualized movement analysis; Inertial measurement units; Gyroscopes; Accelerometers; Signal analysis; Video analysis

Duration: 1.10.2015 - 31.12.2016

Sponsored by:
E-Home-Center (Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst )

Contact:
Kluge, Felix
Phone +49 9131 85 27921, E-Mail: felix.kluge@fau.de
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