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Emotion Recognition using a 4-layer Network
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  • Deepanshu Goyal,
  • Manish Wahale,
  • Sahil Agarwal,
  • Gargi Srivastava
Deepanshu Goyal
Dept. of Computer Science& Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais
Manish Wahale
Dept. of Computer Science& Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais
Sahil Agarwal
Dept. of Computer Science& Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais
Gargi Srivastava
Dept. of Computer Science& Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais

Corresponding Author:[email protected]

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Abstract

The emotional intelligence has emerged as an important area of research in artificial intelligence covering wide range of real-life domains. A significant contribution has also been made to bring new insights in the field of emotional intelligence and intelligent software agents. Learning agents and educational activities are very attractive for incorporation of emotional aspects in artificial intelligence. Emotions have an important role in intelligent behaviour and influence the human decision-making process. An overview of the state-of-the-art in emotional intelligence research with emphasis on emotional agents has been given covering the area like Emotion detection, Emotional agents, Text emotion detection, Modelling artificial agent's environments, Emotional intelligence and different forms of learning, Emotional agents in robotics, Emotional intelligence in decision support processes, Emotional intelligence in interactive environments, Emotional intelligence in classification and search, Emotion models. Taking the first step, the following review discuss about our work on emotion detection.