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- Publisher Website: 10.1109/ROBIO.2018.8664724
- Scopus: eid_2-s2.0-85064105257
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Conference Paper: A Real-Time Brain Control Method Based on Facial Expression for Prosthesis Operation
| Title | A Real-Time Brain Control Method Based on Facial Expression for Prosthesis Operation |
|---|---|
| Authors | |
| Issue Date | 2018 |
| Citation | 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018, 2018, p. 668-673 How to Cite? |
| Abstract | Focusing on the specific requirements for prosthesis operation, a real-time Facial-Expression-BCI method with 5 commands was proposed in this paper. 4 active facial expressions were adopted to control the directional movement, and 1 Normal facial expression was used to send hold on command. The functional connectivity was analyzed to verify the connectivity among related brain regions under facial expression. The signal processing method with 'one vs one' CSP and quadratic SVM were proposed and detail analyzed in dealing the lOOms-length facial expression EEG. The offline training accuracy of the proposed Facial-Expression-BCI was 88.3%±4.8, and the online testing accuracy was 79.5%±2.3. |
| Persistent Identifier | http://hdl.handle.net/10722/327234 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lu, Zhufeng | - |
| dc.contributor.author | Zhang, Xiaodong | - |
| dc.contributor.author | Li, Hanzhe | - |
| dc.contributor.author | Li, Rui | - |
| dc.contributor.author | Chen, Jiangcheng | - |
| dc.date.accessioned | 2023-03-31T05:29:54Z | - |
| dc.date.available | 2023-03-31T05:29:54Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018, 2018, p. 668-673 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/327234 | - |
| dc.description.abstract | Focusing on the specific requirements for prosthesis operation, a real-time Facial-Expression-BCI method with 5 commands was proposed in this paper. 4 active facial expressions were adopted to control the directional movement, and 1 Normal facial expression was used to send hold on command. The functional connectivity was analyzed to verify the connectivity among related brain regions under facial expression. The signal processing method with 'one vs one' CSP and quadratic SVM were proposed and detail analyzed in dealing the lOOms-length facial expression EEG. The offline training accuracy of the proposed Facial-Expression-BCI was 88.3%±4.8, and the online testing accuracy was 79.5%±2.3. | - |
| dc.language | eng | - |
| dc.relation.ispartof | 2018 IEEE International Conference on Robotics and Biomimetics, ROBIO 2018 | - |
| dc.title | A Real-Time Brain Control Method Based on Facial Expression for Prosthesis Operation | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/ROBIO.2018.8664724 | - |
| dc.identifier.scopus | eid_2-s2.0-85064105257 | - |
| dc.identifier.spage | 668 | - |
| dc.identifier.epage | 673 | - |