DocumentCode :
1624522
Title :
Fall Detecting and Alarming Based on Mobile Phone
Author :
Zhongtang Zhao ; Yiqiang Chen ; Junfa Liu ; Zhongtang Zhao
fYear :
2010
Firstpage :
494
Lastpage :
497
Abstract :
This paper presents a system for fall detecting using off-the-shelf electronic devices to detect the fall. We use a smart phone with an embedded tri-axial accelerometer sensor. Data from the accelerometer is evaluated with a decision tree model to determine a fall. If a fall is suspected, a notification is raised to require the user´s response. If the user hurts hardly and cannot respond, the system alerts pre-specified guardian with a message via SMS. Therefore, the fallen man can be cared immediately.
Keywords :
accelerometers; decision trees; health care; mobile handsets; SMS; decision tree model; embedded tri-axial accelerometer sensor; fall detecting; mobile phone; off-the-shelf electronic devices; smart phone; Accelerometers; Adaptation model; Feature extraction; Legged locomotion; Mobile handsets; Sections; Senior citizens; fall detecting; health care; machine learning; pervasive computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location :
Xian, Shaanxi
Print_ISBN :
978-1-4244-9043-1
Electronic_ISBN :
978-0-7695-4272-0
Type :
conf
DOI :
10.1109/UIC-ATC.2010.44
Filename :
5667127
Link To Document :
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