Development of human-mobile communication system using ElectroOculoGram signals

Youngmin Kim, Nakju Doh, Youngil Youm, Wan Kyun Chung

Research output: Contribution to conferencePaperpeer-review

16 Citations (Scopus)

Abstract

This paper present the development of the human-mobile communication system using ElectroOculoGram(EOG) signals. An ideal Velocity Shape signal processing algorithm is proposed to extract position data where the eyes are focusing on from the noisy and drift included EOG signals. Additionally, an efficient algorithm for the detection of various eye-lip movements such as blink and wink is suggested. Two experiments were performed for the validation of human-mobile communication system. One is point stabilization of mobile robot, using extracted eye focusing position data. The other is moving target following experiment using various eye-lip movements as mobile robots command.

Original languageEnglish
Pages2160-2165
Number of pages6
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE/RSJ International Conference on Intelligent Robots and Systems - Maui, HI, United States
Duration: 2001 Oct 292001 Nov 3

Other

Other2001 IEEE/RSJ International Conference on Intelligent Robots and Systems
Country/TerritoryUnited States
CityMaui, HI
Period01/10/2901/11/3

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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