• DocumentCode
    1819795
  • Title

    Human activity monitoring system based on WSNs

  • Author

    Sriwan, Jakkrit ; Suntiamorntut, Wannarat

  • Author_Institution
    Dept. of Comput. Eng., Prince of Songkla Univ., Songkhla, Thailand
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    247
  • Lastpage
    250
  • Abstract
    This paper proposes a human activity monitoring system using accelerated sensors based on wireless sensor networks. By implementing SVM on embedded sensor node and using pitch roll, the direction of human activities can also be classified. By using two 3-axis accelerated sensors and ZigBee protocol, the human activity system can be monitored on-line real-time and recorded the human activities in the home or office gateway.
  • Keywords
    Zigbee; accelerometers; wireless sensor networks; WSN; ZigBee protocol; accelerated sensors; embedded sensor node; human activity monitoring; pitch roll; signal vector magnitude; wireless sensor networks; Acceleration; Legged locomotion; Monitoring; Sensor systems; Support vector machines; Wireless sensor networks; SVM; WSNs; accelerator; human activity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering (JCSSE), 2015 12th International Joint Conference on
  • Conference_Location
    Songkhla
  • Type

    conf

  • DOI
    10.1109/JCSSE.2015.7219804
  • Filename
    7219804
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1819795