Music Player using Emotion Recognition
Abhay Chopde1, Anuradha Lohar2, Mitul3, Swaraj Mane4, Shaurya Mhaske5
1Abhay Chopde, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India.
2Anuradha Lohar*, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India.
3Mitul, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India.
4Swaraj Mane, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India.
5Shaurya Mhaske, Department of Electronics & Telecommunication Engineering, Vishwakarma Institute of Technology, Pune (Maharashtra), India.
Manuscript received on January 30, 2022. | Revised Manuscript received on February 05, 2022. | Manuscript published on February 28, 2022. | PP: 59-64 | Volume-11, Issue-3, January 2022 | Retrieval Number: 100.1/ijitee.C97610211322 | DOI: 10.35940/ijitee.C9761.0111322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Expression of humans has a very crucial role in determining the present state and the mood of a person. It helps in the extraction of the emotion by understanding the different features of the face like cheeks, forehead, eyes, or maybe the curvature of the smile. Music plays a crucial role in the daily lifestyle. It is essentially a kind of thing that soothes and calms the body, brain and soul of a human. During this fast-paced lifestyle, everyone goes through a roller coaster of emotions and changes in moods within seconds. People tend to listen to music according to their emotions. Hence, we have chosen emotion and music and combined them together. Our program will first detect facial expressions and using that it will recognize the emotion of a human being. This is done through counting of repeated integers in a trained model and playing music favorable with the mood detected. This will alleviate the mood or just calm the individual. It may also be able to fetch quicker songs consistent with the mood, saving time looking up for different songs. Parallelly developing a software which will be used anywhere with the assistance of providing the functionality of playing music consistent with the emotion detected. People tend to concentrate on songs consistent with their moods, and it feels very frustrating if a tragic song starts playing when you are happy. It seems like a burden to constantly visit the music application to vary the song. Therefore, in this work, we’ve come up with a solution in which we will use computer vision to detect the emotion of an individual and therefore the system shall play a song consistent with the mood of the client.
Keywords: Music, Tensor flow, Emotion, OpenCV.
Scope of the Article: Image Processing and Pattern Recognition