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作者:

He Jian (He Jian.) | Hu Chen (Hu Chen.)

收录:

Scopus SCIE CSCD

摘要:

This paper presents information on a portable fall detection and alerting system mainly consisting of a custom vest and a mobile smart phone. A wearable motion detection sensor integrated with tri-axial accelerometer, gyroscope and Bluetooth is built into a custom vest worn by elderly. The vest can capture the reluctant acceleration and angular velocity about the activities of daily living (ADLs) of elderly in real time. The data via Bluetooth is then sent to a mobile smart phone running a fall detection program based on k-NN algorithm. When a fall occurs the phone can alert a family member or health care center through a call or emergent text message using a built in Global Positioning System. The experimental results show that the system discriminates falls from ADLs with a sensitivity of 95%, and a specificity of 96.67%. This system can provide remote monitoring and timely help for the elderly.

关键词:

bluetooth fall detection k-NN smart phone telemedicine

作者机构:

  • [ 1 ] [He Jian]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Hu Chen]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [He Jian]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China

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来源 :

CHINA COMMUNICATIONS

ISSN: 1673-5447

年份: 2015

期: 4

卷: 12

页码: 23-31

4 . 1 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:115

JCR分区:4

中科院分区:4

被引次数:

WoS核心集被引频次: 39

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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