MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085934 A) filed by Mlr Institute Of Technology; and Marri Laxman Reddy Institute Of Technology And Management on July 14, 2026, for Emotion-Aware Music Recommendation System Using Facial Expression Recognition.
Inventors include Mr. B. Balaji; Mr. N. Rakshith; Mr. S. Bhanu Kumar; and Mr. V. Varun.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The proposed invention presents a mood-based music recommendation system that uses artificial intelligence and facial emotion recognition to deliver personalized music suggestions based on a user-ti’ms e reaeml otional state. The system captures facial expressions through a webcam and analyzes them using computer vision and machine learning techniques to detect emotions such as happiness, sadness, anger, or neutrality. Based on the identified emotion, it maps the mood to an appropriate music category and automatically recommends and plays songs through integration with platforms like Spotify. By eliminating the need for manual song selection, the system provides real-time, automated recommendations tailored to the user’s current m oinocod. rpItorates technologies such as Convolutional Neural Networks (CNN), Facial Emotion Recognition (FER), and API-based music streaming to create an intelligent and user-friendly application. Additionally, the system adapts to dynamic emotional changes, improving personalization and user engagement over time. Overall, this approach enhances traditional music recommendation methods by integrating real-time emotion detection, offering a more interactive and satisfying user experience while also supporting emotional well-being through mood-appropriate music delivery.
Disclaimer: Curated by HT Syndication.
