Abstract
The age span of elderly people is increasing and this trend may continue for another two decades. The independent living of elderly people are keen on fulfilling lives, but the self-regulating way of life involve with risks, such as weakening, memory loss or impaired judgment and falls that limit mobility. In particular, the daily home activity involving basic functions like preparing breakfast or food, showering, walking, sleeping, watching television, reading books etc., is a key indicator in determining the performance of elder home activity. An intelligent, robust, less cost, flexible and real time home monitoring unit has been developed to record the basic home activities and respond immediately when there is a change in the regular daily activity of the elder person. This paper will report our recent works on the development of intelligent algorithm to determine the behavior.
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