International Journal of Computer
& Organization Trends

Research Article | Open Access | Download PDF

Volume 9 | Issue 2 | Year 2019 | Article Id. IJCOT-V9I2P304 | DOI : https://doi.org/10.14445/22492593/IJCOT-V9I2P304

Platform to Provide Real Time Emotional Analytics via the Cloud

Subha Dharshini M, Vinoth Raaj J R J, Tousiff T H ,Mohana Gowri S,Siddharthaa R

Citation :

Subha Dharshini M, Vinoth Raaj J R J, Tousiff T H ,Mohana Gowri S,Siddharthaa R, "Platform to Provide Real Time Emotional Analytics via the Cloud," International Journal of Computer & Organization Trends (IJCOT), vol. 9, no. 2, pp. 13-16, 2019. Crossref, https://doi.org/10.14445/22492593/IJCOT-V9I2P304

Abstract

The proposed system performs face expression recognition of the listener which helps the speaker to determine how the session is being processed by each individual listener wherein he can make changes to his tone of speech and way of conducting so as to make the session equally cherishable for all listeners. This system provides real time emotional analytics via the cloud and utilizes convolution neural network for facial expression recognition. Convolution neural network classify images, cluster all the images by similarity(using photo search) and then performs object recognition. Convolution neural network are algorithms which can be used to identify faces, individuals, street signs and all other visual data aspects.

Keywords

Convolution neural networks, face expression recognition, Object recognition, Support vector machine

References

[1] Octavio Arriaga, Paul G Ploger, Matias Valdenegro in “Real time Convolutional neural networks for Emotion and Gender classification” in October 2017
[2] “Facial expression recognition using face regions” by Khadija Lekdioui in December 2018