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

fYear

2013

fDate

6-8 March 2013

Firstpage

208

Lastpage

212

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Medical Information and Communication Technology (ISMICT), 2013 7th International Symposium on

Conference_Location

Tokyo

ISSN

2326-828X

Print_ISBN

978-1-4673-5770-8

Electronic_ISBN

2326-828X

Type

conf

DOI

10.1109/ISMICT.2013.6521730

Filename

6521730