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

页码：54 / 57

页数：4

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