STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Artificial Intelligence Research & Advances

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

  1. Vikas Singh
  2. Siddharth Choubey

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 ArticleVikas 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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