期刊
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
卷 59, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2020.101898
关键词
Electrooculogram (EOG); Keyboard/speller; Human computer interface (HCI)
In this study, an asynchronous region based electrooculogram (EOG) speller system has been proposed with fourty two targets consisting of alphabets, numbers and special characters. The total set of targets were arranged into six groups and each group has seven targets. The target groups were displayed in the form of a hexagon, three target groups on each side (right and left) of the display. The proposed system uses single blink or wink eye movements for selecting the desired target. It adopts two step recognition approach, 1) group selection and 2) target identification from the selected group. A pair of opposite target groups were highlighted at the same time in a random order, like an oddball paradigm. The paradigm randomly highlights all target groups once in a single trial. The subject should blink or wink for target group selection in synchrony with the highlights. In a similar manner the desired target is identified from the selected target group. A multi thresholding algorithm is used for eye movement detection. The online and offline experiments were conducted on ten healthy subjects for validating the proposed speller system. An average online classification accuracy of 98.482% is obtained with the information transfer rate (ITR) of 126.656 bits/min. (C) 2020 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据