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: | 1-一月-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 |
顯示於類別: | 期刊論文 |