A wavelet-based pattern recognition algorithm to classify postural transitions in humans

Elderly people can be monitored at home to detect autonomy issues in their behavior. In addition to the environmental sensors (presence and movements in a room, temperature in the flat, light, etc.), we developed an inertial- and magnetic-based acquisition board to monitor the activity of the person...

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Veröffentlicht in:	2009 17th European Signal Processing Conference : 24-28 August 2009 S. 2047 - 2051
Hauptverfasser:	Fleury, Anthony, Noury, Norbert, Vacher, Michel
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2009
Schlagworte:	Accelerometers Algorithms Boards Classification Elderly people Legged locomotion Magnetometers Monitors Movements Pattern recognition Quaternions Sensors Stands Supports Wavelet transforms
ISBN:	9781617388767, 1617388769
Online-Zugang:	Volltext
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