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EOG-based User-independent Gaze Recognition using Wavelet Coefficients and Dynamic Positional Warping

웨이블릿 계수와 Dynamic Positional Warping을 통한 EOG기반의 사용자 독립적 시선인식

  • Chang, Won-Du (School of Electronic and Biomedical Engineering, Tongmyung University) ;
  • Im, Chang-Hwan (Department of Biomedical Engineering, Hanyang University)
  • Received : 2018.07.25
  • Accepted : 2018.09.04
  • Published : 2018.09.30

Abstract

Writing letters or patterns on a virtual space by moving a person's gaze is called "eye writing," which is a promising tool for various human-computer interface applications. This paper investigates the use of conventional eye writing recognition algorithms for the purpose of user-independent recognition of eye-written characters. Two algorithms are presented to build the user-independent system: eye-written region extraction using wavelet coefficients and template generation. The experimental results of the proposed system demonstrated that with dynamic positional warping, an F1 score of 79.61% was achieved for 12 eye-written patterns, thereby indicating the possibility of user-independent use of eye writing.

Keywords

References

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