DocumentCode
3110639
Title
Remarks on EOG and EMG gesture recognition in hands-free manipulation system
Author
Takahashi, Kazuhiko ; Ohta, Takako ; Hashimoto, Masafumi
Author_Institution
Dept. of Inf. Syst. Design, Doshisha Univ., Kyotanabe
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
798
Lastpage
803
Abstract
This paper investigates a nonverbal interface system using bio-potential signals, such as EOG and EMG, measured by a simple brain-computer interface and discusses its possibility of controlling application in a hands-free manipulation system. A simple gesture recognition algorithm from EOG and EMG signals is presented to estimate the user´s intentions and/or thoughts. To evaluate the effectiveness of the interface system, experiments of controlling a walkthrough application in 3D virtual space are carried out and the usefulness of the interface system is confirmed. As a practical application example, controlling an active camera with the interface system is also demonstrated.
Keywords
brain-computer interfaces; electro-oculography; electromyography; gesture recognition; 3D virtual space; EMG; EOG; biopotential signals; brain-computer interface; gesture recognition; hands-free manipulation system; nonverbal interface system; Application software; Brain computer interfaces; Cameras; Communication system control; Computer interfaces; Control systems; Electromyography; Electrooculography; Humans; Man machine systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811376
Filename
4811376
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