Publication: BCI-based assistive robot arm
Issued Date
2013-08-15
Resource Type
ISSN
23268301
2326828X
2326828X
Other identifier(s)
2-s2.0-84881319581
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Symposium on Medical Information and Communication Technology, ISMICT. (2013), 208-212
Suggested Citation
J. Arnil, D. Anopas, M. Horapong, K. Luangrat, Y. Punsawad, Y. W. Ongsawat BCI-based assistive robot arm. International Symposium on Medical Information and Communication Technology, ISMICT. (2013), 208-212. doi:10.1109/ISMICT.2013.6521730 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/31628
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Title
BCI-based assistive robot arm
Other Contributor(s)
Abstract
People who lost their limbs by injury or congenital missing need prosthesis to replace the missing body part to assist or enhance the motor ability or for cosmetic purpose. In this paper, brain-computer interface (BCI) technology is proposed to assist the person with disability who has no arm. The proposed system includes two BCI algorithms, i.e. ERD/ERS algorithm and hybrid EEG-EOG algorithm. The designed assistive robot arm is light weight, low power consumption, user friendly and pleasing aesthetic. The ERD/ERS algorithm can achieve the accuracy of approximately 66% with 3 commands. Moreover, the accuracy of the hybrid EEG-EOG algorithm yields nearly 96%. © 2013 IEEE.