Mobility increases localizability : A survey on wireless indoor localization using inertial sensors

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

223 Scopus Citations
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Author(s)

  • Zheng Yang
  • Chenshu Wu
  • Xinglin Zhang
  • Xu Wang
  • Yunhao Liu

Detail(s)

Original languageEnglish
Article number54
Journal / PublicationACM Computing Surveys
Volume47
Issue number3
Publication statusPublished - 1 Apr 2015
Externally publishedYes

Abstract

Wireless indoor positioning has been extensively studied for the past 2 decades and continuously attracted growing research efforts in mobile computing context. As the integration of multiple inertial sensors (e.g., accelerometer, gyroscope, and magnetometer) to nowadays smartphones in recent years, human-centric mobility sensing is emerging and coming into vogue. Mobility information, as a new dimension in addition to wireless signals, can benefit localization in a number of ways, since location and mobility are by nature related in the physical world. In this article, we survey this new trend of mobility enhancing smartphonebased indoor localization. Specifically, we first study how to measure human mobility: what types of sensors we can use and what types of mobility information we can acquire. Next, we discuss how mobility assists localization with respect to enhancing location accuracy, decreasing deployment cost, and enriching location context. Moreover, considering the quality and cost of smartphone built-in sensors, handling measurement errors is essential and accordingly investigated. Combining existing work and our own working experiences, we emphasize the principles and conduct comparative study of the mainstream technologies. Finally, we conclude this survey by addressing future research directions and opportunities in this new and largely open area. © 2015 ACM.

Research Area(s)

  • Mobility, Smartphones, Wireless indoor localization

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Citation Format(s)

Mobility increases localizability: A survey on wireless indoor localization using inertial sensors. / Yang, Zheng; Wu, Chenshu; Zhou, Zimu et al.
In: ACM Computing Surveys, Vol. 47, No. 3, 54, 01.04.2015.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review