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  • 标题:An EnOcean Wearable Device with Fall Detection Algorithm Integrated with a Smart Home System
  • 本地全文:下载
  • 作者:Guilherme Gerzson Torres ; Renato Ventura Bayan Henriques ; Carlos Eduardo Pereira
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:10
  • 页码:9-14
  • DOI:10.1016/j.ifacol.2018.06.228
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a wearable sensor for ultra-low power networks that interact with a smart home system is proposed. The device is capable to detect falls which can aid the monitoring of elderly peoples to enhance safety. Falls may lead to injuries that could be fatal or mean extra medical expenses. In this study, the development of a wearable sensor for ultra-low power networks capable to interact with a smart home system is proposed. The physiological monitoring is obtained through a 3-axis accelerometer and gyroscope, which is attached to the user’s chest, performing real-time detection of falls based on threshold algorithm. The wearable sensor is an EnOcean node that includes a wireless connection with a smart home system and automatically sends alarm telegrams in case of falls.
  • 关键词:KeywordsSmart home systemsEnOcean protocolWearable sensorsInertial sensorsSensors fusion
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