计算机工程与科学2018，Vol.40Issue(2)：298-303,6.DOI:10.3969/j.issn.1007-130X.2018.02.015
一种脑电信息监督人脸图像的注意力分析方法
An attention analysis method based on EEG supervising face images
摘要
Abstract
Using computer vision technology,aiming at intelligently analyzing the attention of people in the mission,through the acquisition and analysis of face image videos and corresponding EEG signals,a continuous facial image information corresponding to the EEG information sample library is established.Under the premise of using the EEG information to supervise the attention degree of facial images,a method that uses facial information to judge the attention degree is applied.According to the recognition results of SVM (Support Vector Machine) classifiers trained under multiple distributed samples,there is a correlation between facial information and its attention degree.Therefore,it is feasible to use facial images to analyze person's attention in task,and it provides objective data for subsequent evaluation of condition monitoring.关键词
人脸识别/特征提取/脑电信息监督/特征分类/专注度分析Key words
face recognition/feature extraction/EEG supervising/feature classification/attention analysis分类
信息技术与安全科学引用本文复制引用
刘冀伟,史尹嘉,白羽,严朝雯..一种脑电信息监督人脸图像的注意力分析方法[J].计算机工程与科学,2018,40(2):298-303,6.基金项目
北京科技大学教学改革与研究项目(Grant JG2014Z06) （Grant JG2014Z06）
