EOG-based signal detection and verification for HCI

Author

Deng, Lawrence Y. ; Hsu, Chun-Liang ; Lin, Tzu-ching ; Tuan, Jui-sen ; Chen, Yung-Hui

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., St. John´´s Univ., Taipei, Taiwan

Volume

6

fYear

2009

fDate

12-15 July 2009

Firstpage

3342

Lastpage

3348

Abstract

In this paper, we proposed an eye-movement tracking system. Based on electro-oculography (E.O.G) technology we detected the signal with different directions in eye-movements and then analyzed to understand what they represented about (e.g. horizontal direction or vertical direction). We converted the analog signal to digital signal and then used as the control signals for human computer interface (HCI). In order to make the system ldquorobustrdquo, several applications with EOG-based HCI had been designed. Our preliminary results revealed more than 90% accuracy rate for examining the eye-movement that may become a new useful human-machine user interface in the near future.

Keywords

electro-oculography; human computer interaction; signal detection; user interfaces; HCI; analog signal; digital signal; electro-oculography; eye-movements; horizontal direction; human computer interface; human-machine user interface; signal detection; signal verification; vertical direction; Application software; Coils; Cornea; Cybernetics; Diseases; Electrooculography; Eyes; Human computer interaction; Machine learning; Signal detection; Amyotrophic Lateral Sclerosis; Electro-Oculography (E.O.G); Eye-Movement; Human-Machine/Computer Interface (HMI/HCI); Motor Neuron Disease;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2009 International Conference on

Conference_Location

Baoding

Print_ISBN

978-1-4244-3702-3

Electronic_ISBN

978-1-4244-3703-0

Type

conf

DOI

10.1109/ICMLC.2009.5212752

Filename

5212752