Title :
Wheelchair control system by using electrooculogram signal processing
Author :
Nakanishi, Masaki ; Mitsukura, Yasue
Author_Institution :
Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
Abstract :
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.
Keywords :
control engineering computing; electro-oculography; medical control systems; medical signal detection; wheelchairs; double blink; double wink; electrooculogram signal processing method; involuntary eye blinks; normal blink; voluntary eye blink detection; wheelchair control system; Accuracy; Conferences; Correlation coefficient; Electrodes; Electroencephalography; Electrooculography; Wheelchairs; Brain-machine interfaces; Electrooculogram; Powered wheelchair; Voluntary eye blink;
Conference_Titel :
Frontiers of Computer Vision, (FCV), 2013 19th Korea-Japan Joint Workshop on
Conference_Location :
Incheon
Print_ISBN :
978-1-4673-5620-6
DOI :
10.1109/FCV.2013.6485476
