標題: EOG-Based Eye Movement Classification and Application on HCI Baseball Game
作者: Lin, Chin-Teng
King, Juang-Tai
Bharadwaj, Priyanka
Chen, Chih-Hao
Gupta, Akshansh
Ding, Weiping
Prasad, Mukesh
影像與生醫光電研究所
腦科學研究中心
Institute of Imaging and Biomedical Photonics
Brain Research Center
關鍵字: Eye movement classification;HCI;baseball game;EOG
公開日期: 1-Jan-2019
摘要: Electrooculography (EOG) is considered as the most stable physiological signal in the development of human-computer interface (HCI) for detecting eye-movement variations. EOG signal classification has gained more traction in recent years to overcome physical inconvenience in paralyzed patients. In this paper, a robust classification technique, such as eight directional movements is investigated by introducing a concept of buffer along with a variation of the slope to avoid misclassification effects in EOG signals. Blinking detection becomes complicated when the magnitude of the signals are considered. Hence, a correction technique is introduced to avoid misclassification for oblique eye movements. Meanwhile, a case study has been considered to apply these correction techniques to HCI baseball game to learn eye-movements.
URI: http://dx.doi.org/10.1109/ACCESS.2019.2927755
http://hdl.handle.net/11536/152733
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2927755
期刊: IEEE ACCESS
Volume: 7
起始頁: 96166
結束頁: 96176
Appears in Collections:Articles