Design and implementation of an eye gesture perception system based on electrooculography

作者：Lv, Zhao; Zhang, Chao; Zhou, Bangyan; Gao, Xiangping; Wu, Xiaopei^*

来源：Expert Systems with Applications, 2018, 91: 310-321.

DOI：10.1016/j.eswa.2017.09.017

• Electrooculography (EOG)
• Eye gesture
• Unit saccadic signals
• Common spatial pattern (CSP)
• Joint approximate diagonalization
• Support vector machine (SVM)

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.

• 出版日期2018-1
• 单位安徽大学