Open Access
Issue
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
Article Number 01004
Number of page(s) 14
Section Computational Intelligence and Computing
DOI https://doi.org/10.1051/itmconf/20235601004
Published online 09 August 2023
  1. Sonkusare, Dr. Reena Ghosh, Sanskar Laddha, Sudhanshu Kulkarni, Music Recommendation System Based On Emotion Detection Using Image Processing And Deep Networks, 2nd International Conference On Intelligent Technologies, CONIT Karnataka, India, June 24-26, (2022). [Google Scholar]
  2. Freya Vora, Prof. Sanjay Vidhani, Arya Karambelkar, Pram Mamania, Jainam Chhadwa, Mood Indicator: Music And Movie Recommendation System Using Facial Emotion, 5th International Conference On Advances In Science And Technology, ICAST (2022). [Google Scholar]
  3. Sumit Kumar, Vicky Kumar, P. Venkateshwari, Music Recommendation based on User Mood, 9th International Conference on Computing for Sustainable Global Development, (2022). [Google Scholar]
  4. A. Panneerselvam, V. Sneharanthna, M. Gumasekar, K. Logeswaran, M. Suganneshan, Improved Facial Emotion Recognition using Yolo and DeepFace for Music suggestion, Proceedings of the Third International Conference on Electronics and Sustainable Communication Systems, ICESC, (2022). [Google Scholar]
  5. Sanchit Gajam, Madhav Lahoti, Nataasha Raul, Aditya Kasat, Music Recommendation system based on facial mood detection, Third International Conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT, (2022). [Google Scholar]
  6. Shreel Trivedi, Mridu Pant, Samiksha Aggarwal, Amita Dev, Ritu Rani, Poonam Bansal, Driver’s Companion Drowsiness Detection And Emotion-Based Music Recommendation System, International Conference On Computing, Communication, and Intelligent Systems, ICCCIS, (2022). [Google Scholar]
  7. Azeem Saleem Gaded, Vijay Prakash Sharma, Deevesh Chaudhary, Shikha Sharma, Sunil Kumar, Emotion Based Music Recommendation System, 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO, (2021). [Google Scholar]
  8. Rajeev Kumar Gupta, Kevin Patel, Song Playlist Generator System Based On FacialExpression and Song Mood, International Conference on Artificial Intelligence and MachineVision, AIMV, (2021). [Google Scholar]
  9. Shilpa Hari Prakash, Pranesh Ulleri, Kiran B. Zenith, Jinesh, Gowri S. Nair, Kannimoola, Music Recommendation System based on Emotion, 12th ICCCNT, (2021). [Google Scholar]
  10. Tanuj Jain, Saurav Joshi, Nidhi Nair, Emotion Based Music Recommendation System Using LSTM - CNN Architecture, 12th ICCCNT, (2021). [Google Scholar]
  11. Rajdeep Mangrola, Shavak Chauhan, D. Viji, Analysis of Intelligent movie recommender system from facial expression, Proceedings of the Fifth International Conference on Computing Methodologies and Communication, ICCMC, (2021). [Google Scholar]
  12. R. Jaichandran, K. ShanthaShalini, S. Leelavathy, R. Raviraghul, J. Ranjitha, N. Saravanakumar, Facial Emotion Based Music Recommendation System using Computer Vision And Machine Learning Techniques, Turkish Journal of Computer and Mathematics Education, Vol. 12 No. 1, pp. 9012-917, 05 April, (2021). [Google Scholar]
  13. A. Dhanush Ram, G. Chidambaram, G. Kiran, P. Shivesh Karthic, Abdul Kaiyum, Music Recommendation System Using Emotion Recognition, International Research Journal of Engineering and Technology, IRJET, Vol. 08, Issue: 07, July (2021). [Google Scholar]
  14. Vincenzo, Moscato, Giancarlo Sperli, Antonio Picarriello, An emotional recommender system for music.”, IEEE Intelligent Systems (2020). [Google Scholar]
  15. Yu, Ziyang, Research on Automatic Music Recommendation Algorithm Based on Facial Micro- expression Recognition, 39th Chinese Control Conference, CCC, IEEE, (2020). [Google Scholar]
  16. B. Perumal, Sanuvel, Muthukumaran Elangovan, Deny John, Music recommendation system based on facial emotion recognition, (2020). [Google Scholar]
  17. B. Sriman, S.K. Shriram, R. Sathish Kumar, Virtual Assistant for Automatic Emotion Monitoring using Perceived Stress Scale (PSS), (2022). [Google Scholar]

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