TY - GEN
T1 - Wheelchair control system by using electrooculogram signal processing
AU - Nakanishi, Masaki
AU - Mitsukura, Yasue
PY - 2013/4/15
Y1 - 2013/4/15
N2 - This study aims to propose electrooculogram signal processing method for voluntary eye blink detection and apply it to wheelchair control system. In this study, we defined double blink and wink as a voluntary eye blink, and normal blink as an involuntary blink. The proposed method can detect voluntary eye blinks in distinction from involuntary eye blinks with 98.28 percent accuracy. Additionally, we showed the effectiveness of wheelchair control system.
AB - This study aims to propose electrooculogram signal processing method for voluntary eye blink detection and apply it to wheelchair control system. In this study, we defined double blink and wink as a voluntary eye blink, and normal blink as an involuntary blink. The proposed method can detect voluntary eye blinks in distinction from involuntary eye blinks with 98.28 percent accuracy. Additionally, we showed the effectiveness of wheelchair control system.
KW - Brain-machine interfaces
KW - Electrooculogram
KW - Powered wheelchair
KW - Voluntary eye blink
UR - http://www.scopus.com/inward/record.url?scp=84875985988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875985988&partnerID=8YFLogxK
U2 - 10.1109/FCV.2013.6485476
DO - 10.1109/FCV.2013.6485476
M3 - Conference contribution
AN - SCOPUS:84875985988
SN - 9781467356206
T3 - FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
SP - 137
EP - 142
BT - FCV 2013 - Proceedings of the 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision
T2 - 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2013
Y2 - 30 January 2013 through 1 February 2013
ER -