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Risk Clustering for Diagnosing the Falling Risks in Elderly People Using Self-Organizing Map and Motion Capture Technology

Rueangsirarak, W and ATKINS, Anthony and SHARP, Bernadette and Chakpitak, N and Meksamoot, K (2011) Risk Clustering for Diagnosing the Falling Risks in Elderly People Using Self-Organizing Map and Motion Capture Technology. In: 5th International Conference on Advanced Computing & Communication Technologies.

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Abstract or description

A Self-Organizing Map was used to classify the risk level of
falling based on the criteria of a Risk Assessment Matrix in
order to assess the risk in the elderly. This screening system
adopts input data collected from elderly Thai people, using
Motion Capture Technology. The classification of the
screening system based on the result of SOM validation in this
study showed 80% accuracy which suggest that the clustering
technique is adaptable and useful in falling risk management.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Faculty: Faculty of Computing, Engineering and Sciences > Computing
Related URLs:
Depositing User: Bernadette SHARP
Date Deposited: 30 Apr 2013 12:40
Last Modified: 30 Apr 2013 12:40
URI: http://eprints.staffs.ac.uk/id/eprint/815

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