Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Development of an EMG-Based Car Interface Using Artificial Neural Networks for the Physically Handicapped

신경망을 적용한 지체장애인을 위한 근전도 기반의 자동차 인터페이스 개발

  • 곽재경 (고려대학교 대학원 전산학과) ;
  • 전태웅 (고려대학교 대학원 전산학과) ;
  • 박흠용 (고려대학교 제어계측공학과) ;
  • 김성진 (한국과학기술 산업공학과) ;
  • 안광덕 (충북대학교 전기공학과)
  • Published : 2008.06.30
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Abstract

As the computing landscape is shifting to ubiquitous computing environments, there is increasingly growing the demand for a variety of device controls that react to user's implicit activities without excessively drawing user attentions. We developed an EMG-based car interface that enables the physically handicapped to drive a car using their functioning peripheral nerves. Our method extracts electromyogram signals caused by wrist movements from four places in the user's forearm and then infers the user's intent from the signals using multi-layered neural nets. By doing so, it makes it possible for the user to control the operation of car equipments and thus to drive the car. It also allows the user to enter inputs into the embedded computer through a user interface like an instrument LCD panel. We validated the effectiveness of our method through experimental use in a car built with the EMG-based interface.

Keywords

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