Wearable EMG-based HCI for Assistive Robots

• 영문명: Wearable EMG-based HCI for Assistive Robots
• 발행기관: 한국과학기술원 인간친화 복지 로봇 시스템 연구센터
• 저자명: Inhyuk Moon Jun-Uk Chu Myung-Joon Lee Mu-Seong Mun
• 간행물 정보: 『International Journal of Assistive Robotics and Mechatronics』International Journal of Assistive Robotics and Mechatronics Vol.7 No.3, 44~53쪽, 전체 10쪽
• 주제분류: 공학 > 제어계측공학
• 파일형태: PDF
• 발행일자: 2006.09.01

영문 초록

  Electromyogram (EMG) signal generated by voluntary contraction of muscles is often used in assitstive devices because of its distinct output characteristics compared to other bio-signals. This paper proposes a wearable EMG-based human-computer interface (HCI) for assistive robots such as a wheelchair robot and a myoelectric hand robot. The EMG signals for the HCI are measured from levator scapulae muscles concerned in shoulder elevation gestures and forearm muscles concerned in hand gestures. The experimental results show the proposed wearable EMG-based HCI is feasible for assistive robots.

목차

Abstract
Ⅰ. INTRODUCTION
Ⅱ. WHEELCHAIR ROBOT
Ⅲ. MULTIFUNCTION MYOELECTRIC HAND ROBOT
Ⅳ. CONCLUSIONS
REFERENCES

키워드

Electromyogram(EMG) Wearable human-computer interface (HCI) Assistive robots Wheelchair robot Myoelectric hand robot