Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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An Effective Intention Reading from User Face for Human-Friendly Interface

인간친화형 인터페이스를 위한 사용자 얼굴에서의 효과적인 의도 파악

  • 김대진 (한국과학기술원(KAIST) 전자전산학과) ;
  • 송원경 (한국과학기술원(KAIST) 전자전산학과) ;
  • 김종성 (한국전자통신연구원(ETRI) 가상현실 연구센터) ;
  • 변증남 (한국과학기술원(KAIST) 전자전산학과)
  • Published : 2000.11.01
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Abstract

In this paper, an effective intention reading scheme is proposed for human-friendly interface. Soft computing techniques such as fuzzy logic and artificial neural networks are used for this. And Gabor filter based feature(GG feature) is also proposed to deal with local activity in the human face. It is based on human visual system and Gabor filter based approach is very popular in these days. The proposed scheme is adopted for human-friendly interface for rehabilitation service robotic system KARES II.

Keywords