Portable device use case recognition technique for pedestrian navigation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
PublisherInstitute of Navigation
Pages202-208
Number of pages7
ISBN (Electronic)9781510817258
Publication statusPublished - 2015 Jan 1
Event28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015 - Tampa, United States
Duration: 2015 Sep 142015 Sep 18

Publication series

Name28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
Volume1

Other

Other28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015
CountryUnited States
CityTampa
Period15-09-1415-09-18

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Software

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