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A Portable Fall Detection and Alerting System Based on k-NN Algorithm and Remote Medicine
  • ISSN号:1673-5447
  • 期刊名称:《中国通信:英文版》
  • 时间:0
  • 分类:TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] TP311[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]School of Software Engineering, Beijing University of Technology, Beijing 100124, China
  • 相关基金:This work was supported by the Beijing Natural Science Foundation under grant No. 4102005, and partly supported by the Nation- al Nature Science Foundation of China (No. 61040039).
作者: HE Jian HU Chen[1]
中文摘要:

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.

英文摘要:

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.

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期刊信息
  • 《中国通信:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学技术协会
  • 主办单位:中国通信学会
  • 主编:刘复利
  • 地址:北京市东城区广渠门内大街80号6层608
  • 邮编:100062
  • 邮箱:editor@ezcom.cn
  • 电话:010-64553845
  • 国际标准刊号:ISSN:1673-5447
  • 国内统一刊号:ISSN:11-5439/TN
  • 邮发代号:2-539
  • 获奖情况:
  • 国内外数据库收录:
  • 被引量:187