Abstract
Elderly tend to forget or refuse wearing devices belonging to an emergency system (e.g. panic button). A vision based approach does not require any sensors to be worn by the elderly and is able to detect falls automatically. This paper gives an overview of my thesis, where different fall detection approaches are evaluated and combined. Furthermore, additional knowledge about the scene is incorporated to enhance the robustness of the system. To verify its feasibility, extensive tests under laboratory settings and real environments are conducted.
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Planinc, R., Kampel, M. (2011). Emergency System for Elderly – A Computer Vision Based Approach. In: Bravo, J., Hervás, R., Villarreal, V. (eds) Ambient Assisted Living. IWAAL 2011. Lecture Notes in Computer Science, vol 6693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21303-8_11
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DOI: https://doi.org/10.1007/978-3-642-21303-8_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21302-1
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