• DocumentCode
    1823271
  • Title

    Incremental motion-based location recognition

  • Author

    Lee, Seon-Woo ; Mase, Kenji

  • Author_Institution
    AIR Media Integration & Commun. Res. Labs., Kyoto, Japan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    123
  • Lastpage
    130
  • Abstract
    This paper describes a method to recognize the current location of a user using a few simple sensors. The proposed method is based on the integration of incremental motions (e.g., walking) over time to determine location transitions. To handle uncertainty, a fuzzy reasoning method is introduced. The paper also describes a prototype location recognition system that uses a set of inexpensive and wearable sensors, a bi-axial accelerometer and a digital compass. The system uses a reliable motion recognition method featuring only two directional acceleration measurements. The effectiveness of the proposed method is demonstrated by experiments at six locations in an indoor environment
  • Keywords
    Global Positioning System; fuzzy logic; intelligent sensors; learning (artificial intelligence); biaxial accelerometer; digital compass; fuzzy reasoning method; incremental motion-based location recognition; incremental motions; indoor environment; location transitions; prototype location recognition system; reliable motion recognition method; simple sensors; Accelerometers; Cameras; Global Positioning System; Hidden Markov models; Indoor environments; Legged locomotion; Position measurement; Prototypes; Sensor phenomena and characterization; Wearable sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wearable Computers, 2001. Proceedings. Fifth International Symposium on
  • Conference_Location
    Zurich
  • ISSN
    1530-0811
  • Print_ISBN
    0-7695-1318-2
  • Type

    conf

  • DOI
    10.1109/ISWC.2001.962113
  • Filename
    962113