SELIES

From ISLAB/CAISR


Supporting Elderly Life through Intelligent Embedded Systems

SELIES
Project start:
1 September 2007
Project end:
31 July 2012
More info (PDF):
[[media: | pdf]]
Contact:
Nicholas Wickström
Application Area:
Health Technology
Involved internal personnel
Involved external personnel
Involved partners
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Abstract

The project has two focuses; the first is concerned with understanding of human movements and how motor behaviors relate to different aspects of aging, the second focus is concerned with how collaborating embedded systems in the environment (ambient intelligence) can be used for early signs of loss of independence.




Publications

Anita Sant'Anna, Arash Salarian, Nicholas Wickström (2011). A new measure of movement symmetry in early Parkinson's disease patients using symbolic processing of inertial sensor data. IEEE Transactions on Biomedical Engineering. 58(7), pp. 2127-2135

Wagner Ourique de Morais, Nicholas Wickström (2011). A Serious Computer Game to Assist Tai Chi Training for the Elderly. 2011 IEEE 1st International Conference on Serious Games and Applications for Health, SeGAH 2011.

Wagner Ourique de Morais, Anita Sant'Anna, Nicholas Wickström (2008). A Wearable Accelerometer Based Platform to Encourage Physical Activity for the Elderly. Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society. 07(02), pp. 129-181

Anita Sant'Anna, Wagner Ourique de Morais, Nicholas Wickström (2008). Gait Unsteadiness Analysis from Motion Primitives. Gerontechnology : international journal on the fundamental aspects of technology to serve the ageing society. 7(2), pp. 204-

Anita Sant'Anna, Nicholas Wickström (2009). Developing a Motion Language: Gait Analysis from Accelerometer Sensor Systems. Pervasive Health 2009 : 3rd International Conference on Pervasive Computing Technologies for Healthcare.

Anita Sant'Anna, Nicholas Wickström (2010). A Symbol-Based Approach to Gait Analysis From Acceleration Signals : Identification and Detection of Gait Events and a New Measure of Gait Symmetry. IEEE transactions on information technology in biomedicine. 14(5), pp. 1180-1187

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