Human Emotions Reader by Medium of Digital Image Processing

Actually companies seek customer satisfaction through surveys and statistics. But in most cases they may reflect misleading statistics and sometimes the instruments used are tedious for customers. That's why it requires accurate detection instruments and automated which is transparent to the client application. The emotions that people express to have an experience in service can be detected by pattern recognition using the nearest-neighbors method and apply the Gabor filter the images that are taken customers to also classify these emotions and know that satisfaction is having with the client.

[1]  Rosalind W. Picard,et al.  GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning , 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

[2]  Taras Iakymchuk,et al.  Simplified spiking neural network architecture and STDP learning algorithm applied to image classification , 2015, EURASIP J. Image Video Process..

[3]  Takeo Kanade,et al.  Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[4]  Tetsuya Takiguchi,et al.  A robust SVM classification framework using PSM for multi-class recognition , 2015, EURASIP J. Image Video Process..