Image-Evoked Emotion Recognition for Hearing-Impaired Subjects with EEG Signals.

ABSTRACT: In recent years, there has been a growing interest in the study of emotion recognition through electroencephalogram (EEG) signals. One particular group of interest are individuals with hearing impairments, who may have a bias towards certain types of information when communicating with those in their environment. To address this, our study collected EEG signals from both hearing-impaired and non-hearing-impaired subjects while they viewed pictures of emotional faces for emotion recognition. Four kinds of feature matrices, symmetry difference, and symmetry quotient based on original signal and differential entropy (DE) were constructed, respectively, to extract the spatial domain information. The multi-axis self-attention classification model was proposed, which consists of local attention

SUBMITTER: Zhu M 

PROVIDER: S-EPMC10301379 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature