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1 results

  • Movement Pattern Recognition Assisted Map Matching for Pedestrian/Wheelchair Navigation

  • Ming Ren, Hassan A. Karimi
  • Journal:
    The Journal of Navigation / Volume 65 / Issue 4 / October 2012
    Published online by Cambridge University Press:
    15 June 2012, pp. 617-633
    Print publication:
    October 2012
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  • Today's mobile technology features several sensors that when integrated can provide ubiquitous navigation assistance to pedestrians including wheelchair users. Common sensors found in most smartphones are Global Positioning System (GPS), accelerometer, and compass. In this paper, a user's movement pattern recognition algorithm to improve map matching efficiency and accuracy in pedestrian/wheelchair navigation systems/services is discussed. The algorithm integrates GPS positions, orientation data from compass, and movement states recognized from accelerometer data in a client/server architecture. The algorithm is tested in an Android mobile phone, and the results show that the proposed map matching algorithm is efficient and provides good accuracy.