Wearable indoor position tracking using onboard K-band Doppler radar and digital gyroscope

Yao Tang, Changzhi Li

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

6 Scopus citations

Abstract

This paper presents a wearable indoor position tracking system for smart home applications with an emphasis on elderly care. The proposed tracking system incorporates an onboard K-band Doppler radar and a digital gyroscope, which are mounted on the helmet to capture the Doppler and moving directional information. All time tracking is realized on people who wear the helmet. Experiment was carried out and the trajectory was reconstructed based on the received signal. Measurement result was compared with the ground truth to show the high accuracy of the system. The position tracking has an average error of 7.1 cm. Besides, the tracking system has the potential for frequency-modulated continuous-wave (FMCW) operation, which makes 2D mapping possible by measuring the absolute distance between people and surrounding objects.

Original languageEnglish
Title of host publication2015 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages76-77
Number of pages2
ISBN (Electronic)9781479985432
DOIs
StatePublished - Oct 21 2015
EventIEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015 - Taipei, Taiwan, Province of China
Duration: Sep 21 2015Sep 23 2015

Publication series

Name2015 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015 - Proceedings

Conference

ConferenceIEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-BIO 2015
CountryTaiwan, Province of China
CityTaipei
Period09/21/1509/23/15

Keywords

  • K-band radar
  • indoor localization
  • moving objects
  • position tracking
  • trajectory reconstruction

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