Facial Expression Recognition For Mood Analysis

Prof. P. A. Patil
<span title="2019-04-30">2019</span> <i title="International Journal for Research in Applied Science and Engineering Technology (IJRASET)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hsp44774azcezeyiq4kuzpfh5a" style="color: black;">International Journal for Research in Applied Science and Engineering Technology</a> </i> &nbsp;
Facial expression is the main approach for human to express their emotional state. For example, a smile may indicate a positive and optimistic mood while fear, sadness and disgust indicate a negative mental state. Facial expression recognition is the process of assigning an emotional label to a still image or a video. The purpose of the project is to analyze the mood of the user using facial expression recognition. The existing system does not tell about the mood of the user. The idea is to
more &raquo; ... rate the graph of the user's expressions to get the analysis of the mood. The proposed system is a service which can be integrated with multiple applications to analyze the mood of various users associated with di erent applications.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22214/ijraset.2019.4263">doi:10.22214/ijraset.2019.4263</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/djz7w3f2wvg33ay6v7x2dhyt54">fatcat:djz7w3f2wvg33ay6v7x2dhyt54</a> </span>
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