DocumentCode :
2098402
Title :
Development of human-mobile communication system using electrooculogram signals
Author :
Kim, Youngmin ; Doh, Nakju ; Youm, Youngil ; Chung, Wan Kyun
Author_Institution :
Dept. of Mech. Eng., Pohang Univ. of Sci. & Technol., South Korea
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
2160
Abstract :
Present the development of a human-mobile robot communication system using electrooculogram (EOG) signals. An ideal velocity shape signal processing algorithm is proposed to extract position data where the eyes are focusing on from the noise and drift included in EOG signals. Additionally, an efficient algorithm for the detection of various eye-lip movements such as blink and wink is suggested. Two experiments were performed for the validation of the human-mobile communication system. One is point stabilization of a mobile robot, using extracted eye focusing position data. The other is a moving target following experiment using various eye-lip movements as mobile robot commands
Keywords :
bioelectric potentials; eye; mobile robots; position control; blink; electrooculogram signals; eye focusing position; eye-lip movements; human-mobile robot communication system; ideal velocity shape signal processing algorithm; mobile robot; moving target following; point stabilization; position data; wink; Communication system control; Data mining; Electrooculography; Eyes; Humans; Mobile robots; Noise shaping; Shape; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-6612-3
Type :
conf
DOI :
10.1109/IROS.2001.976390
Filename :
976390
Link To Document :
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