The ratio of elderly has been increased in many countries, like America, China, Europe, Korea and Japan. Elderly personal safety has become a social problem in these countries. Smart home technology has been expected to settle down such problem and received much more attention globally. This study intends to provide an economic solution to monitor the movement of the accessory of elderly in the smart home, identify the hot space the elderly is likely to stay, capture the travelling pattern of the elderly who living in the smart home and then expose the possible danger when the elderly stays at a space beyond the period defined in the captured patterns. The family members, neighbor or doctor of the elderly will be informed consequently when the elderly is recognized to be unsafe. A prototype has been developed and the approaches were approved to be sufficient to check the scenarios. The pattern rules with very short duration were ignored and all the rules were customable and could be trained all the time. Simulation is introduced which validates the suggested approach as well.
Bin Xu, Yujia Ge, Jie Chen, Zhixian Chen and Yun Ling, 2012. Elderly Personal Safety Monitoring in Smart Home Based on Host Space and Travelling Pattern Identification. Information Technology Journal, 11: 1063-1069.