Emotion-Aware Video Recommendation on YouTube: A Face Detection and Recognition Approach

Abstract

Artificial intelligence (AI) is the practice of imitating or simulating human intellect in computers or computer
systems using advanced computing techniques and technologies. Human expression is an important sign of a
person's mental and emotional state. Artificial intelligence (AI) is used to read human facial expressions and
extract emotions from features such as the cheekbones, forehead, eyes, and grins. Furthermore, "songs" refers to
an expressive medium that has long been the most effective method of deciphering and understanding human
emotions. The advertised "smart music player" is a pre-programmed device that works on the assumption that
facial expressions can reflect a person's mood. This method offers music based on mood, which corresponds to
the identification of face micro expressions with intercultural expression nuances. It is built by merging the
song's features with micro expression recognition technologies from convolutional neural networks. This can be
performed by categorizing facial expressions into seven distinct emotional states, including neutral, shocked,
furious, sorrowful, and disgusted. The primary purpose of this research paper is to present an overview of a
useful music player and social companion that recommends additional research on recommendation systems and
automatically curates a playlist that will make you feel better based on your mood.