Paper Info
Title
A Study on Human Interface for Communication Using Electrooculogram Signals.
Abstract
Human interface using eyes for a person with disabilities has been researched. Almost ALS (Amyotrophic Lateral Sclerosis) patient can move facial muscle and eyeball. Therefore, human interface using eyes is the communication tool for a person with disabilities. Human interface is very important when aiming at improvement of quality of life. There are various gaze recognition methods. For example, camera [1] and search coil method [2] are general techniques. In this paper, we propose a human interface for communication using electrooculogram method by 4 electrodes. From the simulation results, our system has high accuracy of eyes pattern classification.
Year
DOI
Venue
2015
10.1007/978-3-319-23207-2_31
GENETIC AND EVOLUTIONARY COMPUTING, VOL II
Keywords
Field
DocType
EOG,Electrooculogram signal,Drift,Electromyogram signals
Computer vision,Search coil,Gaze,Computer science,Facial muscles,Artificial intelligence,Machine learning,Human interface device
Conference
Volume
ISSN
Citations 
388
2194-5357
0
PageRank 
References 
Authors
0.34
3
3
Name
Order
Citations
PageRank
Kazuya Gondou100.34
Hiroki Tamura27221.29
Koichi Tanno35722.05