I\textsuperscript{2}RiMA: Spectral Riemannian Representation with Temporal Attention for Mental Stress Detection based on EEG Signals
I2RiMA uses spectral Riemannian representation and temporal attention to improve cross-subject EEG stress detection.
The I2RiMA model addresses the challenge of subject-dependent EEG patterns by combining Riemannian geometry with temporal attention. By focusing on neural oscillations rather than fragmented time slices, it improves the accuracy of stress detection across different users.
