The physiological state states that the emotions described are generated within our subconscious mind. The responses of emotions to a given event are usually uncontrollable in our bodies. The walking patterns of human individuals differ. The gait conveys information about a person for re-identification, gender classification, and emotion recognition. Traditional emotional recognition is based on facial expressions and speech recognition. The new automated way of recognizing emotions is through gait, with less cooperation from the subject. The advantages of gait are that emotion is recognized from low-illumination images or videos and requires less cooperation from the subject. In this work, gait emotions are recognized and identified using deep learning.