Risk Clustering for Diagnosing the Falling Risks in Elderly People Using Self-Organizing Map and Motion Capture Technology
Rueangsirarak, W, ATKINS, Anthony, SHARP, Bernadette, 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.
Full text not available from this repository.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) |
---|---|
Faculty: | Previous Faculty of Computing, Engineering and Sciences > Computing |
Event Title: | 5th International Conference on Advanced Computing & Communication Technologies |
Depositing User: | Prof Bernadette SHARP |
Date Deposited: | 30 Apr 2013 12:40 |
Last Modified: | 24 Feb 2023 13:37 |
Related URLs: | |
URI: | https://eprints.staffs.ac.uk/id/eprint/815 |
Actions (login required)
View Item |