Abstract: This research constructs a face emotion framework that can examine fundamental human facial expressions. The approach suggested was used by humans to classify the humans' mood and eventually to play the audio file that links to human emotion using this result. First of all, the device takes the face of the human being as a part of the process. It is carried out facial recognition. After this, the facial expressions can be recognized using attribute extraction techniques. This way the emotion of humans can be identified using the picture element. Those signature points are located by the extraction of tongue, mouth and eyebrows, eyebrows. Training with a small range of characteristics faces can gain recognition in varying environmental conditions. An easy, effective and reliable solution is proposed.

Keywords: Deep Learning, Music Player, face detection, feature extraction, and face emotion.

PDF | DOI: 10.17148/IJARCCE.2022.11111

Open chat
Chat with IJARCCE