Falls and fainting detection through movement interaction

Authors:
Juan E. Garrido;Víctor M. R. Penichet;María D. Lozano;José A. F. Valls
Affiliations:
University of Castilla-La Mancha, Albacete, Spain;University of Castilla-La Mancha, Albacete, Spain;University of Castilla-La Mancha, Albacete, Spain;University of Castilla-La Mancha, Albacete, Spain
Venue:
Proceedings of the 13th International Conference on Interacción Persona-Ordenador
Year:
2012

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Abstract

Healthcare centers have always been an essential scenario where apply new technologies in order to improve their conditions and solve problems. New movement interaction sensors have allowed the development of new solutions to solve a critical situation: the automatic falls and fainting detection. In this paper, we present a ubiquitous and context-aware system, focused on residential care homes, which uses Kinect to detect automatically anomalous postures. The system controls residents' postures through a procedure based on alert states and advice notes. Any anomalous posture is analyzed. Then, the system may consider to activate warnings or even to ask for the most adequate employee to react urgently.