Self-contained localization without auxiliary signals on smart devices

Hsin Hsien Peng, Chi Chung Lo, Tsung Ching Lin, Yu-Chee Tseng

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

Abstract

Wearable technologies have attracted considerable attention in mobile computing. This paper proposes a system for localization on wearable devices, such as the smart glasses. The existing approaches to localization, such as AoA, ToA, TDoA, GPS, and RF-based solutions, rely on auxiliary signals at set distances. This limitation constrains the availability of LBS when a mobile device is unable to receive the auxiliary signals. For example, GPS is not available in indoor environments. This paper proposes a system for 'self-contained' localization, which refers to the capability of a device to determine its location without having to rely on auxiliary signals, and demonstrates the feasibility of using inertial measurement unit (IMU) and visual sensors in a smart phone to achieve this goal. Based on a concept called inertial sensor-assisted localization (ISAL), IMU sensors are triggered by user motions and visual cues are taken from existing objects. Using augmented reality (AR) techniques, objects captured by the smart phone camera are 'tagged' manually or automatically by image processing tools. The angles of these objects relative to the user are then measured by IMU sensors. Based on these angles, we then develop an angulation algorithm to determine the location of the user.

Original languageEnglish
Title of host publicationProceedings - IEEE 7th International Conference on Service-Oriented Computing and Applications, SOCA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages154-160
Number of pages7
ISBN (Electronic)9781479968336
DOIs
StatePublished - 5 Dec 2014
Event7th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2014 - Matsue, Japan
Duration: 17 Nov 201419 Nov 2014

Publication series

NameProceedings - IEEE 7th International Conference on Service-Oriented Computing and Applications, SOCA 2014

Conference

Conference7th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2014
CountryJapan
CityMatsue
Period17/11/1419/11/14

Keywords

  • Augmented Reality
  • Inertial Sensor
  • Localization
  • Location-Based Services
  • Pervasive Computing
  • Sensor Network

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  • Cite this

    Peng, H. H., Lo, C. C., Lin, T. C., & Tseng, Y-C. (2014). Self-contained localization without auxiliary signals on smart devices. In Proceedings - IEEE 7th International Conference on Service-Oriented Computing and Applications, SOCA 2014 (pp. 154-160). [6978604] (Proceedings - IEEE 7th International Conference on Service-Oriented Computing and Applications, SOCA 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SOCA.2014.21