지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한기계학회 Journal of Mechanical Science and Technology Journal of Mechanical Science and Technology Vol.19 No.1
- 발행연도
- 2005.1
- 수록면
- 87 - 96 (10page)
이용수
초록· 키워드
오류제보하기
Electroencephalography (EEG) is another interesting bio-electrical signal to differ from EMG (Electromyography). In order to pursue its application in the control of the multi-fingered robot hand or the prosthetic hand, the pattern recognition technology of the human hand activities based on EEG should be investigated as a very important and elementary research objective at first. After discussing our research strategy about EEG applied in the control of the robot hand, the recognition model named as Fuzzy Neural Network (FNN) is set up in this paper, and then its related algorithms, such as the fundamental knowledge produced, the learning samples set, the features extracted, and the patterns recognized with the artificial neural network (ANN), are deeply discussed for achieving the classification of some basic mental tasks. In addition, the experimental research has also been done using a twochannel system of measuring EEG signal, and the result shows the new recognition model using FNN can extract not only the effective spectral features of the hand movements and the other usual accompanying mental tasks, such as blinking eyes, watching red color and listening music, so as to achieve the fundamental knowledge production and the feature extraction, but also has the good capability of the pattern recognition about the human hand activities through the fuzzy setting of the learning samples and the training of its ANN.
목차
Abstract
1. Introduction
2. Research Strategy
3. The FNN Model and its Algorithms
4. Experiment and Results
5. Conclusions
Acknowledgment
References
참고문헌 (20)
참고문헌 신청
Bartels, A. and Zeki, S., 2004, "Functional Brain Maping during Free Viewing of Natural Scenes," Human Brain Mapping, Vol.21, No.1, pp.75~85.
Bigan, C., 1998, "A System for Neural Networks Detection and Automatic Identification of EEG Epileptic Events," IEE Colloquium on Intelligent Methods in Healthcare and Medical Applications, pp.13/1~13/4.
Choi, H. and Ryew, S., 2000, "Cooperative Manipulation of a Virtual Object by Multiple Remote Users," KSME International Journal, Vol.14, No.9, pp.956~967.
Christoph, G. Alois, S., Christa, N., Dirk, W., Thomas, S. and Gert, P., 2001, "Rapid Prototyping of an EEG-based Brain-computer Interface (BCI)," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.9, No.1, pp.49~58.
Filippi, M., Rocca, M.A. and Mezzapesa, D.M., 2004, "Simple and Complex Movement-Associated Functional MRI Changes in Patients at Presentation with Clinically Isolated Syndromes Suggestive of Multiple Sclerosis," Human Brain Mapping, Vol.21, No.1, pp.108~
Bigan, C., 1998, "A System for Neural Networks Detection and Automatic Identification of EEG Epileptic Events," IEE Colloquium on Intelligent Methods in Healthcare and Medical Applications, pp.13/1~13/4.
Choi, H. and Ryew, S., 2000, "Cooperative Manipulation of a Virtual Object by Multiple Remote Users," KSME International Journal, Vol.14, No.9, pp.956~967.
Christoph, G. Alois, S., Christa, N., Dirk, W., Thomas, S. and Gert, P., 2001, "Rapid Prototyping of an EEG-based Brain-computer Interface (BCI)," IEEE Trans. on Neural Systems and Rehabilitation Engineering, Vol.9, No.1, pp.49~58.
Filippi, M., Rocca, M.A. and Mezzapesa, D.M., 2004, "Simple and Complex Movement-Associated Functional MRI Changes in Patients at Presentation with Clinically Isolated Syndromes Suggestive of Multiple Sclerosis," Human Brain Mapping, Vol.21, No.1, pp.108~
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
EEG 패턴인식
대한전자공학회 학술대회
2006 .06
-
Design of Prosthetic Robot Hand and Electromyography-Based Hand Motion Recognition
Journal of the Korean Society for Precision Engineering
2020 .05
-
Classification System of EEG Signals During Mental Tasks
ICEIC : International Conference on Electronics, Informations and Communications
2004 .08
-
Adaptive Neural Network Classifier for EEG Signals of Six Mental Tasks
제어로봇시스템학회 국제학술대회 논문집
2011 .10
-
EEG related Methods for Emotion Recognition
대한전자공학회 학술대회
2014 .11
-
The EEG Analysis Method for Obtaining the Feeling
제어로봇시스템학회 국제학술대회 논문집
2008 .10
-
Pattern Recognition of EEG Signals During Motor Imagery
제어로봇시스템학회 국제학술대회 논문집
2006 .10
-
Emotion Recognition Method for Driver Services
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2007 .12
-
EEG 기반 P300을 이용한 객체 인식 방법 연구
한국지능시스템학회 학술발표 논문집
2013 .04
-
EEG 신호 기반 인공신경망을 통한 감정 인식에 대한 연구
한국통신학회 학술대회논문집
2018 .01
-
음악 청취에 따른 감정분류를 위한 EEG신호 패턴분석
대한전기학회 학술대회 논문집
2014 .02
-
정신활동에 의한 EEG신호의 분류시스템
대한전자공학회 학술대회
2003 .07
-
EEG 분석을 통한 동물의 감정 인식
한국통신학회 학술대회논문집
2017 .06
-
Pattern Recognition of Human Grasping Operations Based on EEG
International Journal of Control, Automation, and Systems
2006 .10
-
EEG 패턴 분석을 이용한 취식 행동 인식 방법
한국정보과학회 학술발표논문집
2015 .06
-
Hand Gesture Recognition Using Neural Network
한국멀티미디어학회 학술발표논문집
2007 .05
-
Recording and Characterization of EEGs by Using Wearable EEG Device
제어로봇시스템학회 국제학술대회 논문집
2019 .10
-
Unorthodox Approach to Classify EEG Signals for Upper Limb Prosthesis Application
제어로봇시스템학회 국제학술대회 논문집
2018 .10
-
Feature Extraction from EEG Signals in P300 Spelling System
제어로봇시스템학회 국제학술대회 논문집
2009 .08
-
EEG 잡파 특성 분석
한국지능시스템학회 논문지
2002 .08
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2009-550-014529126