Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning

Progress in understanding multisensory integration human have suggested researchers that the may result into enhancement or depression of incoming signals. It is evident based on different psychological and behavioral experiments stimuli coming from perceptual modalities at same time place, signal having more strength under influence emotions effects response accordingly. Current research has not studied effect despite its significance natural depression. Therefore, there a need to integrate emotional state agent with for In this study, two neural network-based learning algorithms been employed learn impact was observed performance proposed system increases when emotion features were present during