신경망을 적용한 지체장애인을 위한 근전도 기반의 자동차 인터페이스 개발

• 영문명: Development of an EMG-Based Car Interface Using Artificial Neural Networks for the Physically Handicapped
• 발행기관: 한국IT서비스학회
• 저자명: 곽재경(Jaekyung Kwak) 전태웅(Taewoong Jeon) 박흠용(Humyong Park) 김성진(Sungjin Kim) 안광덕(Kwangdek An)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제7권 제2호, 149~164쪽, 전체 16쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2008.06.30

영문 초록

  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.

목차

Abstract
1. 서론
2. 방법론
3. 근전도 신호 신경망
4. 활용 실험 결과
5. 결론
참고문헌
저자소개

키워드

Electromyogram(EMG) Human-computer Interface Artificial Neural Network EMG Pattern Recognition Nonlinear Feature Projection Wavelet Packet Transform PCA SOFM