Paper Info
Title
Gaze Estimation Using Electrooculogram Signals and Its Mathematical Modeling
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.
Year
DOI
Venue
2013
10.1109/ISMVL.2013.31
ISMVL
Keywords
Field
DocType
diseases,human computer interaction,electrooculogram signal,quality of life,mathematical model,human computer interface,amyotrophic lateral sclerosis,facial muscular response,drift,electrooculogram signals,gaze estimation,eog,efficient alternative channel,correct limb,hand movement,patient care,electro-oculography,facial muscular responses,mathematical modeling,medical computing,recorded signal,estimation system,patients,math-method,regression analysis,estimation,control systems
Computer vision,Gaze,Computer science,Communication channel,Artificial intelligence,Patient care,Electro-oculography
Conference
ISSN
ISBN
Citations 
0195-623X E-ISBN : 978-0-7695-4976-7
978-0-7695-4976-7
2
PageRank 
References 
Authors
0.59
0
3
Name
Order
Citations
PageRank
Mingmin Yan132.66
Hiroki Tamura27221.29
Koichi Tanno35722.05