A Wireless Electrooculography-based Human-Computer Interface for Baseball Game

Chin-Teng Lin, Shang Lin Wu, Wei-Ling Jiang, Jyun Wei Liang, Shi An Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Gaming control becomes popular based on the development of human-computer interface (HCI). Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control HCI systems based on eye movement detection and signal processing methods. However, there are currently no effective multi-directional classification methods for monitoring eye movements. In addition, many EOG-based HCI systems have been developed with traditional wet electrodes. Those traditional electrodes require conductive gel and skin preparation on some users. Here, we describe a signal processing method used in a wireless EOG-based HCI system with dry electrodes for detecting eye movements to have 9 options. This system includes wireless EOG signal acquisition device, dry electrodes and an EOG signal processing algorithm. The EOG signal processing algorithm is based on 9 options of eye movement and blink signals. The results demonstrated an application of baseball game control using the proposed wireless HCI system. This system provides an effective and convenient method for eye movement detection.
Original languageEnglish
Title of host publication2013 9th International Conference on Information, Communications & Signal Processing
Number of pages4
DOIs
StatePublished - Dec 2013
Event9th International Conference on Information, Communications and Signal Processing, ICICS 2013 - Tainan, Taiwan
Duration: 10 Dec 201313 Dec 2013

Conference

Conference9th International Conference on Information, Communications and Signal Processing, ICICS 2013
CountryTaiwan
CityTainan
Period10/12/1313/12/13

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