https://github.com/mrfoxak/music-recommendation-model-based-on-emotion-detection-using-pulse-rate-and-stress-measurement

This paper explores the integration of mood detection techniques with music recommendation systems, using pulse rate analysis to determine stress levels and suggest personalized music based on the user's emotional state. The system combines pulse detection with AI to deliver tailored music recommendations that enhance the listener's experience.
https://github.com/mrfoxak/music-recommendation-model-based-on-emotion-detection-using-pulse-rate-and-stress-measurement

emotion-detection emotion-recognition machine-learning math mathematics ppg-graph recommender-system research-paper springernature

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This paper explores the integration of mood detection techniques with music recommendation systems, using pulse rate analysis to determine stress levels and suggest personalized music based on the user's emotional state. The system combines pulse detection with AI to deliver tailored music recommendations that enhance the listener's experience.

• Host: GitHub
• URL: https://github.com/mrfoxak/music-recommendation-model-based-on-emotion-detection-using-pulse-rate-and-stress-measurement
• Owner: MrfoxAK
• Created: 2024-08-21T15:38:56.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-21T15:53:21.000Z (5 months ago)
• Last Synced: 2024-11-28T07:08:10.787Z (2 months ago)
• Topics: emotion-detection, emotion-recognition, machine-learning, math, mathematics, ppg-graph, recommender-system, research-paper, springernature
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Music-Recommendation-Model-Based-on-Emotion-Detection-Using-Pulse-Rate-and-Stress-Measurement

This paper explores the integration of mood detection techniques with music recommendation systems, using pulse rate analysis to determine stress levels and suggest personalized music based on the user's emotional state. The system combines pulse detection with AI to deliver tailored music recommendations that enhance the listener's experience.

### `Springer Link`

[Music_Recommendation_System](https://link.springer.com/chapter/10.1007/978-981-99-5015-7_17).