Ambient sensor system for freezing of gait detection by spatial context analysis

Authors:
Boris Takač;Andreu Català;Daniel Rodríguez;Wei Chen;Matthias Rauterberg
Affiliations:
Industrial Design Department, TU/e - Eindhoven University of Technology, Eindhoven, The Netherlands, Technical Research Centre for Dependency Care and Autonomous Living (CETpD) Neàpolis, UPC ...;Technical Research Centre for Dependency Care and Autonomous Living (CETpD) Neàpolis, UPC - Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain;Technical Research Centre for Dependency Care and Autonomous Living (CETpD) Neàpolis, UPC - Universitat Politècnica de Catalunya, Vilanova i la Geltrú, Spain;Industrial Design Department, TU/e - Eindhoven University of Technology, Eindhoven, The Netherlands;Industrial Design Department, TU/e - Eindhoven University of Technology, Eindhoven, The Netherlands
Venue:
IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
Year:
2012

Citing 2
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A Bayesian plan-view map based approach for multiple-person detection and tracking

Pattern Recognition
Wearable assistant for Parkinson's disease patients with the freezing of gait symptom

IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare

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Abstract

Freezing of gait (FoG) is one of the most disturbing and least understood symptoms in Parkinson's disease (PD). One of the specificities of FoG is its dependency on the context of the patient, such as current location or a task at hand. Recent advances in assistive technology have strived towards the realization of personal health systems able to prolong independent living capability of people experiencing the symptom. So far, only solutions based on wearable sensing exist, but these systems do not take advantage of the external context for FoG detection. We present the concept and the laboratory prototype of an ambient sensor system designed to enhance its companion FoG wearable monitoring system through precise localization and active mapping of the environment.