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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Bibliographic Details

Published in:	2009 17th European Signal Processing Conference : 24-28 August 2009 pp. 2047 - 2051
Main Authors:	Fleury, Anthony, Noury, Norbert, Vacher, Michel
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.08.2009
Subjects:	Accelerometers Algorithms Boards Classification Elderly people Legged locomotion Magnetometers Monitors Movements Pattern recognition Quaternions Sensors Stands Supports Wavelet transforms
ISBN:	9781617388767, 1617388769
Online Access:	Get full text
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