Identification of a person's intention, feeling and cognitive state requires the use of facial expressions. By building a suggestion system, it may be possible to aid a user in deciding which music to listen to, lowering the user's stress levels. To recognize facial emotion expression, researchers used YOLOv4, a type of one-shot, end-to-end deep neural network. YOLO v4 obtains progressive leads to time period, using 43.5 percent AP operating at 65 independent authorities in a Tesla V100. No one has used YOLOv4 to our knowledge.
Recognition Of Facial Expression By Smart Music Player Via Human Face Mood Recommendation
2021-12-02
960823 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Efficient 3D face recognition handling facial expression and hair occlusion
British Library Online Contents | 2012
|Facial expression analysis and expression-invariant face recognition by manifold-based synthesis
British Library Online Contents | 2018
|Exploring Facial Expression Effects in 3D Face Recognition Using Partial ICP
British Library Conference Proceedings | 2006
|Exploring Facial Expression Effects in 3D Face Recognition Using Partial ICP
Springer Verlag | 2006
|