DocumentCode :
603474
Title :
Gaze Estimation Using Electrooculogram Signals and Its Mathematical Modeling
Author :
Mingmin Yan ; Tamura, H. ; Tanno, Keita
Author_Institution :
Interdiscipl. Grad. Sch. of Agric. & Eng., Univ. of Miyazaki, Miyazaki, Japan
fYear :
2013
fDate :
22-24 May 2013
Firstpage :
18
Lastpage :
22
Abstract :
The aim of this study is to present electrooculogram signals that can be used for human computer interface efficiently. Establishing an efficient alternative channel for communication without overt speech and hand movements is important to increase the quality of life for patients suffering from Amyotrophic Lateral Sclerosis or other illnesses that prevent correct limb and facial muscular responses. In this paper, we introduce the gaze estimation system of electrooculogram signals. Using this system, the electrooculogram signals can be recorded when the patients focused on each direct. All these recorded signals could be analyzed using math-method and the mathematical model will be set up. Gaze estimation can be recognized using electrooculogram signals follow these models.
Keywords :
diseases; electro-oculography; human computer interaction; medical computing; patient care; EOG; amyotrophic lateral sclerosis; electrooculogram signals; facial muscular responses; gaze estimation; human computer interface; math-method; mathematical modeling; patients; quality of life; Control systems; Electrooculography; Estimation; Mathematical model; Mice; Regression analysis; Drift; Electrooculogram Signal; Gaze estimation; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multiple-Valued Logic (ISMVL), 2013 IEEE 43rd International Symposium on
Conference_Location :
Toyama
ISSN :
0195-623X
Print_ISBN :
978-1-4673-6067-8
Electronic_ISBN :
0195-623X
Type :
conf
DOI :
10.1109/ISMVL.2013.31
Filename :
6524633
Link To Document :
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