Title :
Bci-based assistive robot arm
Author :
Arnil, J. ; Anopas, D. ; Horapong, M. ; Luangrat, K. ; Punsawad, Yunuong ; Wongsawat, Y.
Author_Institution :
Dept. of Biomed. Eng., Mahidol Univ., Nakornpathom, Thailand
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%.
Keywords :
brain-computer interfaces; electro-oculography; electroencephalography; handicapped aids; low-power electronics; manipulators; prosthetics; BCI algorithms; BCI technology; BCI-based assistive robot arm; ERD algorithm; ERS algorithm; brain-computer interface technology; congenital missing; cosmetic purpose; designed assistive robot arm; hybrid EEG-EOG algorithm; injury; low power consumption; motor ability; person with disability; pleasing aesthetic; prosthesis; user friendly aesthetic; Accuracy; Brain models; Electroencephalography; Electrooculography; Joints; Robots;
Conference_Titel :
Medical Information and Communication Technology (ISMICT), 2013 7th International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-5770-8
Electronic_ISBN :
2326-828X
DOI :
10.1109/ISMICT.2013.6521730
