A novel egocentric pointing system based on smart glasses

Yi Yu Hsieh, Yu Han Wei, Kuan-Wen Chen, Jen-Hui Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a novel, egocentric pointing system based on Google Glass which is equipped with an optical head-mounted display (OHMD) and a near-eye camera, with the eye-pointing line passing through the lower left corner of the display. For a pointed target, the pointing (or ranging) algorithm is based on a distance-pixel curve established from the camera-eye (epipolar) geometry. Additional pointing algorithms for estimating gazing point on a planar surface are also developed by establishing another distance-pixel curve along the same epipolar line. Experiments show that less than 0.32° angular error in the egocentric pointing can be achieved for object distance ranging from 80cm to 178cm by the best estimation scheme, with slightly less accurate results (i.e. 0.58°) achievable by simpler estimation schemes.

Original languageEnglish
Title of host publication2017 IEEE Visual Communications and Image Processing, VCIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538604625
DOIs
StatePublished - 28 Feb 2018
Event2017 IEEE Visual Communications and Image Processing, VCIP 2017 - St. Petersburg, United States
Duration: 10 Dec 201713 Dec 2017

Publication series

Name2017 IEEE Visual Communications and Image Processing, VCIP 2017
Volume2018-January

Conference

Conference2017 IEEE Visual Communications and Image Processing, VCIP 2017
CountryUnited States
CitySt. Petersburg
Period10/12/1713/12/17

Keywords

  • Egocentric Pointing
  • Epipolar Geometry
  • Smart Glasses
  • Wearable Device

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