Decoding of Brain Activity Induced by Different Cosmetic Formulations

This study investigates enhancing the cosmetic selection process in VR/AR environments by focusing on tactile feedback. While VR/AR allows users to visually select cosmetic shades, the lack of tactile feedback is a limitation. We used EEG and machine learning to analyze emotional and tactile responses to different cosmetic formulations and classify user preferences. The beta frequency band achieved the highest classification accuracy at 71.84%, demonstrating EEG’s potential to capture subtle emotional responses. These findings suggest that integrating tactile feedback into VR/AR could improve the realism and satisfaction of the cosmetic selection experience.