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In our daily lives, music plays a vital role in soothing the emotions of its listeners. They can experience a distinct emotional reaction. We can tell someone’s emotion just by looking at their face. By directly identifying the user's facial emotions, the current work aims to create an automated system that creates playlists and plays music based on the user's mood. This eliminates the tiresome and repetitive process of physically compiling songs and assists the users to get automatically generated music playlists that suits their present state of mind. To achieve this, the open-source computer vision library (OpenCV) has been used to identify the user’s emotion. This model needs a camera to record the user's face. Based on the user’s identified “emotion” from the face, the playlist is suggested to them. The overall accuracy of the system is found to be 92%.

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Music Recommendation Based on User’s Emotion Detected from Facial Expressions

  • 会议论文

  • 发表日期：

    2025年

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  • Lopa Mandal,
  • M. Akshitha,
  • P. Gowtham Reddy,
  • Kanta Govardhan,
  • Gangireddy Sai Rakesh Reddy,
  • Alle Rahul Reddy

摘要

In our daily lives, music plays a vital role in soothing the emotions of its listeners. They can experience a distinct emotional reaction. We can tell someone’s emotion just by looking at their face. By directly identifying the user's facial emotions, the current work aims to create an automated system that creates playlists and plays music based on the user's mood. This eliminates the tiresome and repetitive process of physically compiling songs and assists the users to get automatically generated music playlists that suits their present state of mind. To achieve this, the open-source computer vision library (OpenCV) has been used to identify the user’s emotion. This model needs a camera to record the user's face. Based on the user’s identified “emotion” from the face, the playlist is suggested to them. The overall accuracy of the system is found to be 92%.