Low-Quality Video Target Detection Based on EEG Signal Using Eye Movement Alignment.

ABSTRACT: The target detection based on electroencephalogram (EEG) signals is a new target detection method. This method recognizes the target by decoding the specific neural response when an operator observes the target, which has important theoretical and application values. This paper focuses on the EEG detection of low-quality video targets, which breaks through the limitation of previous target detection based on EEG signals only for high-quality video targets. We first design an experimental paradigm for EEG-based low-quality video target detection and propose an epoch extraction method based on eye movement signals to solve the asynchronous problem faced by low-quality video target detection. Then, the neural representation in the process of operator recognition is analyzed based on the time

SUBMITTER: Shi J 

PROVIDER: S-EPMC11222288 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature