• DocumentCode
    831478
  • Title

    Activity and location recognition using wearable sensors

  • Author

    Lee, Seon-Woo ; Mase, Kenji

  • Author_Institution
    Hallym Univ., Kangwon, South Korea
  • Volume
    1
  • Issue
    3
  • fYear
    2002
  • Firstpage
    24
  • Lastpage
    32
  • Abstract
    Using measured acceleration and angular velocity data gathered through inexpensive, wearable sensors, this dead-reckoning method can determine a user´s location, detect transitions between preselected locations, and recognize and classify sitting, standing, and walking behaviors. Experiments demonstrate the proposed method´s effectiveness.
  • Keywords
    mobile computing; position measurement; sensors; angular velocity; dead-reckoning method; measured acceleration; preselected locations; sitting; standing; transitions; user´s location; walking; wearable sensors; Accelerometers; Angular velocity; Area measurement; Dead reckoning; Legged locomotion; Motion detection; Personal digital assistants; Pervasive computing; Sensor phenomena and characterization; Wearable sensors;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2002.1037719
  • Filename
    1037719
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=831478