An Artificial Intelligence for Detection of User's Emotion from the Micro Expression of Facial Images Using Co-activated Recurrent Neural Network

Authors

  • Vikas Singh Shri Shankaracharya Technical Campus, Bhilai, India
  • Siddharth Choubey Shri Shankaracharya Technical Campus, Bhilai, India

Keywords:

emotion detection, face feature extraction, recurrent neural networks, micro expression, artificial intelligence

Abstract

Human-computer intelligent interaction is a technically emerging field in computer science, which aims at improving the natural ways of interaction between computer and humans. The emphasis of our work relies on bridging the emotional gap between humans and computer i.e., to enable the computers to determine the emotional status of the users involved with through the facial micro-expressions. This work exploits existing methods of facial feature extraction using ABLATA and uses the proposed principal cluster classifier (PCC) based on newly modeled architecture of co-activated recurrent neural networks to automate the sequencization and feature determination of emotional states.

 

Cite this Article
Vikas Singh, Siddharth Choubey, An Artificial Intelligence for Detection of User's Emotion From The Micro Expression of Facial Images Using Co-activated Recurrent Neural Network, Journal of Artificial Intelligence Research & Advances. 2015; 2(1): 1–6p.

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Published

2015-02-17

Issue

Vol. 2 No. 1 (2015)

Section

Research Articles

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