손가락 동작과 힘 추정 시스템Motion and Force Estimation System of Human Fingers
- Other Titles
- Motion and Force Estimation System of Human Fingers
- Authors
- 이동철; 최영진
- Issue Date
- Oct-2011
- Publisher
- 제어·로봇·시스템학회
- Keywords
- EMG (Electromyography); data-glove system; hand pattern prediction; relation between force and EMG
- Citation
- Journal of Institute of Control, Robotics and Systems, v.17, no.10, pp.1014 - 1020
- Indexed
- SCOPUS
KCI
- Journal Title
- Journal of Institute of Control, Robotics and Systems
- Volume
- 17
- Number
- 10
- Start Page
- 1014
- End Page
- 1020
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/38806
- DOI
- 10.5302/J.ICROS.2011.17.10.1014
- ISSN
- 1976-5622
- Abstract
- This presents a motion and force estimation system of human fingers by using an Electromyography (EMG) sensor module and a data glove system to be proposed in this paper. Both EMG sensor module and data glove system are developed in such a way to minimize the number of hardware filters in acquiring the signals as well as to reduce their sizes for the wearable. Since the onset of EMG precedes the onset of actual finger movement by dozens to hundreds milliseconds, we show that it is possible to predict the pattern of finger movement before actual movement by using the suggested system. Also, we are to suggest how to estimate the grasping force of hand based on the relationship between RMS taken EMG signal and the applied load. Finally we show the effectiveness of the suggested estimation system through several experiments.
- Files in This Item
-
Go to Link
- Appears in
Collections - COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF ROBOT ENGINEERING > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.