Portable device use case recognition technique for pedestrian navigation

Al Hamad Amr, Abdelrahman Ali, Jacques Georgy, Hsiu Wen Chang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Smart devices technology is continually advancing and growing, attracting developers to new trends of applications such as navigation and localization applications. Meanwhile, human physical activity recognition using Micro Electro-Mechanical Sensors (MEMS) has been extensively applied for different fields such as health monitoring, emergency services, athletic training, sport rehabilitation, and elderly assistance. Since most smartphones nowadays are equipped with motion sensors, this allows for an opportunity to use them for navigation applications to provide knowledge about a person motion and activity. Specifically, indoor navigation systems would benefit from the knowledge about user motion and dynamics. In this paper, an optimized and adaptive technique is proposed for determining the device use case to be utilized by a navigation system to deal with different time-varying device locations and usages. The proposed algorithm employed different statistical parameters based on accelerometers' and gyroscopes' measurements and quantities derived therefrom to estimate the device's use case. Different test scenarios were conducted to assess the performance of the proposed technique. The results concluded that the proposed technique is able to recognize the correct device use case for each test.

原文English
主出版物標題28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
發行者Institute of Navigation
頁面202-208
頁數7
ISBN(電子)9781510817258
出版狀態Published - 2015 一月 1
事件28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015 - Tampa, United States
持續時間: 2015 九月 142015 九月 18

出版系列

名字28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
1

Other

Other28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
國家United States
城市Tampa
期間15-09-1415-09-18

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Software

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