DEPARTMENT OF COMPUTER SCIENCE
Clayton, Victoria 3168 Australia
TECHNICAL REPORT 96/251
A case study in dynamic belief networks: Monitoring walking, fall prediction and detection
A E Nicholson
The task is to monitor walking patterns and give early warning of falls using foot switch and mercury trigger sensors. We describe a dynamic belief network model for fall diagnosis which, given evidence from sensor observations, outputs beliefs about the current walking status and makes predictions regarding future falls. The model represents possible sensor error and is parametrised to allow customisation to the individual being monitored.