Ye Yan

TL;DR: Zhang et al. as discussed by the authors proposed a DA method for the motor imagery (MI) EEG signal called brain-area-recombination (BAR), where each sample was first separated into two ones by left/right brain channels, and the artificial samples were generated by recombining the half-samples.

TL;DR: In this paper, the authors reviewed the recent advancements in emotion recognition research using physiological signals, including emotion models and stimulation, signals preprocessing, feature extraction and classification methodologies, and provided an insight on the current research progress, existing problems, and challenges of emotion recognition based on physiological signals.

TL;DR: In this article, a joint feature-space and sample-space heterogeneous feature transfer (JFSSS-HFT) method is proposed to simultaneously process heterogeneous multi-resolution images in feature space using projection matrices of different dimensions and reduce the impact of outliers by adaptive weight factors in the sample space simultaneously to reduce the occurrence of negative transfer.

TL;DR: In this article, a subjective assessment was conducted to study the influence of Hue, Saturation and Brightness (HSB) on visual comfort in binocular stereoscopic video, and VR/AR comfort relationship models based on HSB was established.