Semanticity Prediction

Semanticity prediction is a task that estimates the semantic perception of listeners based on physiological signals (such as EEG, GSR, PPG), aiming to distinguish between semantic and non-semantic information through a binary classification model. This task has significant application value and can be widely used in human-computer interaction, affective computing, cognitive science, and other fields.