Efficient Face Mood Analyzer for Assessment |
Author(s): |
| Sushmita Shekhawat , PES, Modern College Of Engineering; Prof. Mrs. Laxmi Sisode, PES, Modern College Of Engineering; Aditi Tekade, PES, Modern College Of Engineering; Sayali Talkute, PES, Modern College Of Engineering; Asmita Dhiwar, PES, Modern College Of Engineering |
Keywords: |
| Mood Analyzer, Assessment |
Abstract |
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By growing the capacity and processing power of the server nowadays, a wide range of capabilities can be implemented in these servers to make them more intelligent and user friendly. Determining the mood of the user can be used in order to provide suitable reactions from the system in different conditions. One of the most studied ways of mood detection is by using facial expressions, which is still one of the challenging fields in pattern recognition and machine learning science. Deep Neural Networks (DNN) have been widely used in order to overcome the difficulties in facial expression classification. In this paper it, is shown that the classification accuracy is significantly lower when the network is trained with one database and tested with a different database. A solution for obtaining a general and robust network is given as well. |
Other Details |
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Paper ID: IJSRDV6I10020 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 516-518 |
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