Emotion Based Ambiance And Music Recommendation Using Deep Learning
Keywords:
CNN, Deep Learning.Abstract
In today’s hyper active world full of stress and pressure, mental and emotional health is becoming important factors in maintaining a
person’s well-being, but with the ever increasing work and social load, people don’t have enough time to take care of themselves, especially their mental health. There is enormous amount of studies that showcase that the ambient lighting and music have a major impact on the mood. So, our solution to is to track the persons emotions using a network of cameras and set the lighting theme, music and ambiance in accordance to the mood of person and then gradually moving them to the more positive moods to try to improve the
mood of the person.
Downloads
References
1. FER 2013 Dataset, Available [Online] https://www.kaggle.com/c/challenges-in representation-learning-facialexpression- recognition-challenge/data.
2. Ji Chen, Jin Wang, Lin Wang, Method for driving virtual facial expressions by automatically detecting facial expressions of a face image, US7751599B2.
3. Ioana Bacivarov, Galway (IE); Peter Corcoran, Claregalway(IE),“(12) United States Patent,” vol. 2, jul 16, 2013.
4. S. W. Ryan, (12) System and Method for Programming a Weighing Scale Usinga Key Signal to Enter a Programming Mode, vol. 1, no. 12. 2009.
5. M. Based and O. N. A. Mood, “(12) United States Patent,”vol. 2, no. 12, 2013.
6. S. Gilda, H. Zafar, C. Soni, and K. Waghurdekar, “Smartmusic player integrating facial emotion recognition and music mood recommendation,” Proc. 2017 Int. Conf. Wireless Communication. Signal Process. Networking, WiSPNET 2017, vol.2018-Janua,
pp. 154– 158, 2018.
7. M. Gupta, U. Pradesh, S. Singhal, U. Pradesh, M. Pandey, and U. Pradesh, “Real time emotions recognition and analysis-based music player,” vol. 5, no. 2, pp. 1462– 1465,2019.
8. A. R., A. Vollal, P. B., S. Yadav, and R. M., “MoodyPlayer:A Mood based Music Player,” Int. J. Comput. Appl., vol.141, no. 4, pp. 21–25, 2016.
9. A. Gupte, A. Naganarayanan, and M. Krishnan, “EmotionBased Music Player - XBeats,” Int. J. Adv. Eng. Res. Sci.,vol. 3, no. 9, pp. 217–223,
2016.
10. O. Arriaga, M. Valdenegro-Toro, and P. G.Plöger, “Real-time convolutional neural networks for emotion and gender classification, ”ESANN 2019 - Proceedings, 27th Eur. Symp. Artificial. Neural Networks, Compute. Intelligent Machine Learning., pp.221–226, 2019.
