• DocumentCode
    131577
  • Title

    Estimation of heading misalignment between a pedestrian and a wearable device

  • Author

    Ali, Akram Syed ; Georgy, Jacques ; Bruce Wright, D.

  • Author_Institution
    Trusted Positioning Inc. (TPI), Calgary, AB, Canada
  • fYear
    2014
  • fDate
    24-26 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The wearable devices market has witnessed major technological advancements in recent years. These achievements have greatly increased their ability to be involved in applications such as location-based services (LBS), portable navigation, and guidance applications. In certain applications, providing a navigation solution based on inertial sensors stand-alone requires the user to keep the portable device in a specific orientation with respect to the user´s body. It is unreasonable to assume that the device will remain in a fixed orientation all the time. In this paper, a technique is proposed to provide the heading misalignment angle between the wearable smart device and the pedestrian. Different test scenarios were conducted to assess the performance of the proposed technique including different use cases. The results show that the proposed technique is able to provide continuous and reliable consumer localization without any restrictions on the way the user holds or uses the device.
  • Keywords
    attitude control; intelligent sensors; pedestrians; wearable computers; LBS; consumer localization; guidance applications; heading misalignment angle; inertial sensors; location-based services; navigation solution; pedestrian; portable device; portable navigation; wearable devices market; wearable smart device; Estimation; Global Positioning System; Magnetometers; Micromechanical devices; Three-dimensional displays; heading; heading misalignment; pedestrian; sensors; smart device; wearable device;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Localization and GNSS (ICL-GNSS), 2014 International Conference on
  • Conference_Location
    Helsinki
  • Type

    conf

  • DOI
    10.1109/ICL-GNSS.2014.6934170
  • Filename
    6934170