Attention Score Prediction

The task of predicting attention scores aims to estimate the attention level of listeners through physiological signals (such as EEG, GSR, and PPG), which falls under the category of time series regression tasks. The goal is to output a continuous value between 0 and 100, quantifying an individual's degree of attention concentration during a specific time period. This method holds significant application value in fields such as education, healthcare, and human-computer interaction, providing a scientific basis for personalized teaching, disease diagnosis, and user experience optimization.