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.


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    Titel :

    Recognition Of Facial Expression By Smart Music Player Via Human Face Mood Recommendation


    Beteiligte:


    Erscheinungsdatum :

    2021-12-02


    Format / Umfang :

    960823 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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