Abstract: Although each individual human has a unique face, their expressions tell us the same tale and play an important role in determining an individual's emotions and behaviour. Music is the purest form of art and a medium of expression, and it is seen to have a stronger emotional connection. It has a unique capacity to make one feel better. This project system aims to create an effective music player that is based on the user's emotion and employs facial recognition algorithms to do so. The extracted facial traits will generate a system, minimising the effort and time required to accomplish so manually. A camera is used to record facial data. Deep learning algorithms are used by the emotion module to determine the exact mood associated with a given phrase. For real-time film, the mood detection module in the system has an accuracy of over 80%, while static images have an accuracy of 95 to 100%. As a result, it produces greater precision in terms of time and performance.
Keywords: Computer Vision, Deep Learning Techniques, Face Recognition, Emotion and Mood Detection, Mood Extraction Module, Computer Vision
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DOI:
10.17148/IJARCCE.2022.11319
