Noise Level Prediction

The Noise Level Prediction task aims to estimate the noise level experienced by a listener through physiological signals such as EEG, GSR, and PPG. This task involves six different background noise levels (Signal-to-Noise Ratios, SNRs, of -6, -3, 0, 3, 6, and infinity dB) to achieve accurate assessment of noisy environments. This technology has significant application value in hearing protection, environmental monitoring, and human-computer interaction.