AIRCC's International Journal of Computer Science and Information Technology

Wernhuar Tarng ¹, Chia-Hwei Lin ¹, Hsin-Hun Liou ²

Affiliations
1 Graduate Institute of Computer Science, National Hsinchu University of Education, TW
2 Department of Computer Science and Information Engineering, National Central University, TW

Abstract

Due to the advance of modern medical technology, the average age of global population increases continuously in recent years. In 1993, the society in Taiwan had already reached the criterion of aging population, bringing the country an important issue of looking after old people which could not be ignored by its society. In this study, a wireless sensor device is developed to monitor the activities of old people at home and report fall events in real time. It can decrease the mental and physical injuries caused by fall events, and reduce the cost of looking after the injured old people for a long time. Another objective of this study is to enable the society to realize the problem of looking after old people and pay more attention to the senior citizens living alone as well.

Keywords

Wireless Sensor Networks, Activity Monitoring, Machine Learning, Fall Detection.

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