Emotion-based music player
In this proposed system the facial expression extracted will generate a playlist automatically thereby reducing the effort and time involved in rendering the process manually. Testing of the system is done both on user dependent (dynamic) and user independent (static) dataset. An inbuilt camera captures the facial features. The accuracy of the emotion detection algorithm used in the system for real-time images is around 85-90%, while for static images it is around 98- 100%. The proposed algorithm on an average takes around 0.95-1.05 sec to generate an emotion-based music playlist. Thus, it yields better accuracy in terms of performance and computational time and reduces the designing cost, compared to the algorithms used in the literature survey.
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