Risk Clustering for Diagnosing the Falling Risks in Elderly People Using Self-Organizing Map and Motion Capture Technology
Worasak Rueangsirarak, Anthony S Atkins, Bernadette Sharp, Nopasit Chakpitak, Komsak Meksamoot · Staffordshire Online Repository (Staffordshire University) · 2011
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.