(英) |
In this paper, we verify the accuracy of image classification using multiple users' EEG signals and images.Specifically, we propose a image classification method using multiple users' EEG signals and images.Furthermore, we verify the effectiveness using multiple users' EEG signals and images by comparing two values of accuracy obtained from the proposed method and the conventional method.In the first stage of our method, first, we perform the image classification by using each user's EEG features and each visual feature independently.Next, we merge the above classification results and obtain the final classification result in the second stage.In the second stage, we utilize newly obtained feature vectors by integrating multiple users' EEG features and all visual features based on a feature integration method called MSLPCCA.Consequently, our image classification method using multiple users' EEG features and visual features is realized. |