Design and implementation of an eye gesture perception system based on electrooculography
Design and implementation of an eye gesture perception system based on electrooculography
复制标题
基于眼电图的眼部手势感知系统的设计与实现
DOI：
10.1016/j.eswa.2017.09.017
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发表时间：
2018-01-01
影响因子：
8.5
通讯作者：
Wu, Xiaopei
中科院分区：
文献类型：
--
作者：
Lv, Zhao;Zhang, Chao;Wu, Xiaopei
患有运动疾病的人言语和非言语沟通能力都被剥夺。幸运的是，他们中的一些人仍然保留了大脑和眼动的协调能力。为了为这些残疾人建立稳定的沟通方式，本文提出了一种基于眼电图（EOG）的眼部手势感知系统。为了实现单位扫视眼电信号的高精度识别，我们提出了一种基于公共空间模式（CSP）的新特征提取算法。我们首先建立一个对应 8 个扫视任务（即上、下、左、右、右上、左上、右下和左下）的 CSP 空间滤波器组，然后用它来线性投影原始 EOG 信号并将输出视为特征参数。此外，通过根据预定义的时间序列识别和合并单位扫视片段来进行眼部姿势识别。超过10名受试者的实验结果表明，单位扫视眼电图和眼部手势的识别精度分别为96.8%和95.0%，这表明该系统具有良好的眼部手势感知性能。 (C) 2017 年由爱思唯尔有限公司出版。
People with motor diseases have suffered from deprivation of both verbal and non-verbal communication abilities. Fortunately, some of them still retain coordination of brain and eye-motor. To establish a stable communication way for these disabled people, this paper presents an eye gesture perception system based on Electrooculography (EOG). In order to implement a high-accuracy of unit saccadic EOG signals recognition, we propose a new feature extraction algorithm based on Common Spatial Pattern (CSP). We first establish a CSP spatial filter bank corresponding to 8 saccadic tasks (i.e., up, down, left, right, right up, left-up, right-down, and left-down), then use it to linearly project raw EOG signals and treat the outputs as feature parameters. Furthermore, eye gestures recognition has been carried out by identifying and merging unit saccadic segments in terms of pre-defined time sequences. Experiential results over 10 subjects show that the recognition precision of unit saccadic EOG and eye gesture are 96.8% and 95.0% respectively, which reveal the proposed system has a good performance of eye gestures perception. (C) 2017 Published by Elsevier Ltd.