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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Elhoushi, M. Georgy, J. Korenberg, M. Noureldin, A. |
| Copyright Year | 2014 |
| Description | Author affiliation: Electr. & Comput. Eng. Dept., Queen's Univ., Kingston, ON, Canada (Korenberg, M.; Noureldin, A.) || Trusted Positioning Inc., Calgary, AB, Canada (Elhoushi, M.; Georgy, J.) |
| 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. |
| Sponsorship | IEEE Aerosp. Electron. Syst. Soc. |
| Starting Page | 158 |
| Ending Page | 163 |
| File Size | 3919383 |
| Page Count | 6 |
| File Format | |
| ISSN | 21533598 |
| e-ISBN | 9781479933204 |
| DOI | 10.1109/PLANS.2014.6851370 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Legged locomotion Feature extraction Global Positioning System Acceleration Trajectory Bicycles land-based vessel activity recognition mode of motion inertial sensors walking cycling running |
| Content Type | Text |
| Resource Type | Article |
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