Title :
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
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;
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
DOI :
10.1109/ICMLC.2009.5212752