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.