DocumentCode :
3680275
Title :
A Survey of Fall Detection Algorithm for Elderly Health Monitoring
Author :
Liyang Zhu;Pei Zhou;Anle Pan;Jian Guo;Wei Sun;Lirong Wang;Xiaohe Chen;Zhen Liu
Author_Institution :
Sch. of Electron. &
fYear :
2015
Firstpage :
270
Lastpage :
274
Abstract :
With the arrival of population aging society, the health care of the elderly becomes more important. The fall detection algorithm is the core of the fall detection alarm system, so it is the key for the research and development of the fall detection system to analyze and select the appropriate algorithm for the detection of falling. It is one of the most important indicators of elder health monitor that it can quickly detect, alarm and shorten the time of rescue when senior falls down. Through analyzing the related fall detection algorithm to monitor the health of the elderly home or outside, and comparing their practicalities and pertinences, we give the application and limitations of the related research. The future of the fall detection algorithm is presented. This paper provides a reference researchers related to the development of fall detection algorithms.
Keywords :
"Sensors","Acceleration","Support vector machines","Senior citizens","Detection algorithms","Accelerometers","Accuracy"
Publisher :
ieee
Conference_Titel :
Big Data and Cloud Computing (BDCloud), 2015 IEEE Fifth International Conference on
Type :
conf
DOI :
10.1109/BDCloud.2015.35
Filename :
7310756
Link To Document :
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