Facial expression based music player
Sushmita G. Kamble, Akash Kulkarni · 2016
Conventional method of playing music depending upon the mood of a person requires human interaction. Migrating to the computer vision technology will enable automation of such system. To achieve this goal, an algorithm is used to classify the human expressions and play a music track as according to the present emotion detected. It reduces the effort and time required in manually searching a song from the list based on the present state of mind of a person. The expressions of a person are detected by extracting the facial features using the PCA algorithm and Euclidean Distance classifier. An inbuilt camera is used to capture the facial expressions of a person which reduces the designing cost of the system as compared to other methods. The results show that the proposed system achieves upto 84.82% of accuracy level in recognizing the expressions.