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Applications of Wireless Sensor Networks in Fall Detection for Senior People


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

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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  • Applications of Wireless Sensor Networks in Fall Detection for Senior People

Abstract Views: 371  |  PDF Views: 187

Authors

Wernhuar Tarng
Graduate Institute of Computer Science, National Hsinchu University of Education, Taiwan, Province of China
Chia-Hwei Lin
Graduate Institute of Computer Science, National Hsinchu University of Education, Taiwan, Province of China
Hsin-Hun Liou
Department of Computer Science and Information Engineering, National Central University, Taiwan, Province of China

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.