A Threshold-based Algorithm of Fall Detection Using a Wearable Device with Tri-axial Accelerometer and Gyroscope

被引：0
|
作者：
Guo, Han Wen [1 ]
Hsieh, Yi Ta [1 ]
Huang, Yu Shun [1 ]
Chien, Jen Chien [1 ]
Haraikawa, Koichi [1 ]
Shieh, Jiann Shing [2 ]
机构：
[1] Cal Comp Inc, Healthcare & Beauty Res Ctr, New Taipei, Taiwan
[2] Yuan Ze Univ, Dept Mech Engn, Taoyuan, Taiwan
来源：
2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS) | 2015年
关键词：
fall detection; accelerometer; gyroscopes; wearable system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fall events are the external causes of injury in the elderly adults, even leading to disability and death. In this study, we used a weightless and wearable device with built-in tri-axial accelerometer and gyroscope to record 8 types of stimulated-falls and 6 types of different activities of daily living (ADL) preformed by 6 health young subjects. A threshold-based algorithm using our device was developed to determine a fall event. Using our fall detection system, falls could be distinguished from ADL successfully for a total data set.
引用
收藏
页码：54 / 57
页数：4
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