Robust Motion Mode Recognition for Portable Navigation Independent on Device Usage

M. Elhoushi, J. Georgy, M. Korenberg, A. Noureldin

Abstract: Portable navigation has become increasingly prevalent in daily activities. The need for accurate user positioning information, including a person’s location and velocity, when using a portable device (such as a cell phone, tablet, or even a smart watch) is growing in various fields. Knowing the user’s mode of motion or conveyance allows appropriate algorithms or constraints, related to each mode, to be used to estimate a more accurate position and velocity. The modes covered in this paper are walking, running, cycling, and land-based vessels (including vehicles, truck, buses, and trains which include light rail trains and subways). The work discussed in this paper involves the use of sensors – with and without Global Navigation Satellite Systems (GNSS) signal availability - in portable devices to help recognize the mode of motion for an arbitrary user, an arbitrary use case - whether the device is held in the hand, in the pocket, or at the ear, etc. -and an arbitrary orientation of the device.
Published in: Proceedings of IEEE/ION PLANS 2014
May 5 - 8, 2014
Hyatt Regency Hotel
Monterey, CA
Pages: 158 - 163
Cite this article: Elhoushi, M., Georgy, J., Korenberg, M., Noureldin, A., "Robust Motion Mode Recognition for Portable Navigation Independent on Device Usage," Proceedings of IEEE/ION PLANS 2014, Monterey, CA, May 2014, pp. 158-163.
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