用人脸情绪识别自动匹配音乐，实时提升心情
Emotion Detection and Music Recommendation System
- 通过摄像头实时分析面部表情，识别情绪状态
- 根据检测到的情绪从本地库匹配对应播放列表
- 支持手动切换歌曲，适合想通过音乐调节情绪的人
随着人工智能日益融入日常生活，我们提出一种基于深度学习的音乐推荐与情绪检测系统。该系统利用摄像头采集人脸图像，通过DeepFace框架实时分析情绪，识别出主要面部表情后，从本地存储中调取与之匹配的播放列表。用户可通过下拉菜单或导航按钮手动更换歌曲，系统持续循环播放，确保体验连贯。本系统旨在通过音乐疗法提升情绪健康，提供响应迅速且自动化的音乐选择服务。
原文摘要 · Abstract (English)
As artificial intelligence becomes more and more ingrained in daily life, we present a novel system that uses deep learning for music recommendation and emotion-based detection. Through the use of facial recognition and the DeepFace framework, our method analyses human emotions in real-time and then plays music that reflects the mood it has discovered. The system uses a webcam to take pictures, analyses the most common facial expression, and then pulls a playlist from local storage that corresponds to the mood it has detected. An engaging and customised experience is ensured by allowing users to manually change the song selection via a dropdown menu or navigation buttons. By continuously looping over the playlist, the technology guarantees continuity. The objective of our system is to improve emotional well-being through music therapy by offering a responsive and automated music-selection experience.
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