ANN Based Facial Emotion Detection and Music Selection
Merin Thomas, H S Shreenidhi · 2022
Everybody like to listen to music, depending on their mood. But choosing a music manually based on mood is a task that has to be addressed because it takes time and effort. When anticipating a person's emotions and mood, the face is crucial. We create a prototype for a dynamic music recommendation system based on human emotions in this system that is being suggested. Songs for each emotion are taught based on human listening patterns. The emotion on a real person's face is recognised using an integration of feature extraction and machine learning techniques. Once the mood is determined from the input image, the appropriate music will be played to keep the users' attention. It consists of two stages: training and real-time emotion recognition and music selection. The suggested study has demonstrated a notable level of performance in terms of recognition and music choice.