@inproceedings{34d5862afacf4829add6e54e6ab64c39,
title = "Gaze estimation method based on EOG signals",
abstract = "Electrooculogram (EOG) is an important bioelectricity signal generated by physical activities of eyeballs. Information about gaze position can be obtained by analyzing EOG signals, which can lay a foundation for a novel way of human-computer interaction (HCI) based on EOG signals. In this paper, we propose a gaze estimation method based on EOG signals. After filtering and amplifying the acquired EOG signals, framing and normalization is done to make the signals easier to classify. The wavelet coefficients are extracted as the feature vectors, and BP classifier is trained to classify EOG signals of different directions.",
keywords = "BP neural work, EOG signal, Gaze estimation method, Wavelet coefficient",
author = "Bei Yan and Sichun Yu and Mengke Liu and Xiangkun Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016 ; Conference date: 21-07-2016 Through 23-07-2016",
year = "2016",
month = dec,
day = "5",
doi = "10.1109/IMCCC.2016.51",
language = "英语",
series = "Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "443--446",
editor = "Junbao Li",
booktitle = "Proceedings - 2016 6th International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2016",
address = "美国",
}