• DocumentCode
    2371627
  • Title

    A Large Scale Gathering System for Activity Data with Mobile Sensors

  • Author

    Hattori, Yuichi ; Inoue, Sozo ; Hirakawa, Go

  • Author_Institution
    Kyushu Inst. of Technol., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    12-15 June 2011
  • Firstpage
    97
  • Lastpage
    100
  • Abstract
    In this paper, we show a large-scale activity gathering system with mobile sensor devices such as smart phones and accelerometers. We gathered over 35,000 activity data points from more than 200 people over approximately 13 months. We describe the design rationale of the system, and analyze the gathered data through statistics, clustering, and application of an existing activity recognition method. Our results show that there is a challenging field for activity recognition in larger-scale activity data.
  • Keywords
    gait analysis; mobile computing; pattern clustering; sensor fusion; statistical analysis; accelerometers; activity recognition method; large scale activity data gathering system; mobile sensor devices; smart phones; Accelerometers; Accuracy; History; Mobile communication; Sensors; Servers; Smart phones; accelerometers; activity recognition; smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers (ISWC), 2011 15th Annual International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1550-4816
  • Print_ISBN
    978-1-4577-0774-2
  • Type

    conf

  • DOI
    10.1109/ISWC.2011.32
  • Filename
    5959574