Abstract
This paper presents a mechatronic P300-based brain computer interface (BCI) for wheelchair control applications. A translucent visual stimulus panel (TVSP) is set up in front of the wheelchair to provide an intuitive P300 visual stimulus operation as well as to realize the see-through scene during operating wheelchairs. In this research, a micro projector is utilized to produce flickering visual stimuli on the display board which is 35cm away from the user. To improve the information transfer rate (ITR), a spatial filter based on Canonical Correlation Analysis (CCA) and Support Vector Machine (SVM) were also applied to this work to improve the performance of BCI classification. The result of experiments showed that the proposed BCI is with 88.2% in accuracy and 22.97 bits/min information transfer rate in average received from ten subjects. In ground truth experiments of practical trajectory tracking, the root mean squared error (RMSE) of P300 BCI are 12.11cm in 'U' trajectory test.
Original language | English |
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Title of host publication | 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 |
Publisher | IEEE Computer Society |
Pages | 304-309 |
Number of pages | 6 |
ISBN (Electronic) | 9781728159072 |
DOIs | |
State | Published - 11 2020 |
Externally published | Yes |
Event | 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 - New York City, United States Duration: 29 11 2020 → 01 12 2020 |
Publication series
Name | Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics |
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Volume | 2020-November |
ISSN (Print) | 2155-1774 |
Conference
Conference | 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, BioRob 2020 |
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Country/Territory | United States |
City | New York City |
Period | 29/11/20 → 01/12/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Algorithms and machine learning
- Brain-machine interfaces
- Human-machine interfaces