Bibliographic Details
| Title: |
An Approach for Pattern Recognition of EEG Applied in Prosthetic Hand Drive |
| Authors: |
Xiao-Dong Zhang, Yun-Xia Wang, Yao-Nan Li, Jin-Jin Zhang |
| Source: |
Journal of Systemics, Cybernetics and Informatics, Vol 9, Iss 6, Pp 51-56 (2011) |
| Publisher Information: |
International Institute of Informatics and Cybernetics, 2011. |
| Publication Year: |
2011 |
| Collection: |
LCC:Information technology
LCC:Communication. Mass media |
| Subject Terms: |
Prosthesis Hand, pattern recognition, Brain-Computer Interface, Eeg, Information technology, T58.5-58.64, Communication. Mass media, P87-96 |
| More Details: |
For controlling the prosthetic hand by only electroencephalogram (EEG), it has become the hot spot in robotics research to set up a direct communication and control channel between human brain and prosthetic hand. In this paper, the EEG signal is analyzed based on multi-complicated hand activities. And then, two methods of EEG pattern recognition are investigated, a neural prosthesis hand system driven by BCI is set up, which can complete four kinds of actions (arm’s free state, arm movement, hand crawl, hand open). Through several times of off-line and on-line experiments, the result shows that the neural prosthesis hand system driven by BCI is reasonable and feasible, the C-support vector classifiers-based method is better than BP neural network on the EEG pattern recognition for multi-complicated hand activities. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1690-4524 |
| Relation: |
http://www.iiisci.org/Journal/CV$/sci/pdfs/RO865CT.pdf; https://doaj.org/toc/1690-4524 |
| Access URL: |
https://doaj.org/article/bc178b215966420b858ab50e9a41af01 |
| Accession Number: |
edsdoj.bc178b215966420b858ab50e9a41af01 |
| Database: |
Directory of Open Access Journals |
