Parallel computing architecture for eye tracking systems

Wen Chung Kao, Jui Che Tsai, Yi Chin Chiu

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

2 Citations (Scopus)

Abstract

It has been proved that visible light gaze trackers (VLGT) outperforms the traditional infra-ray based ones with respect to user experience. Still, the computational complexity of analyzing eye images becomes considerably higher due to the fact that the algorithm should accommodate various illumination conditions. In this paper, we propose a parallel computing architecture for realizing a high precision algorithm on multi-core microprocessor. The experimental result shows the proposed architecture could be applied to the design of a high speed VLGT with frame rate higher than 700 frames/s.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages289-290
Number of pages2
ISBN (Electronic)9781509040179
DOIs
Publication statusPublished - 2017 Jul 25
Event4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States
Duration: 2017 Jun 122017 Jun 14

Publication series

Name2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Other

Other4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
CountryUnited States
CityTaipei
Period17/6/1217/6/14

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Biomedical Engineering
  • Instrumentation
  • Electrical and Electronic Engineering

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  • Cite this

    Kao, W. C., Tsai, J. C., & Chiu, Y. C. (2017). Parallel computing architecture for eye tracking systems. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 289-290). [7991109] (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7991109