A Survey on Emotion Recognition for Human Robot Interaction

Suhaila Najim Mohammed, Alia Karim Abdul Hassan

Abstract


With the recent developments of technology and the advances in artificial intelligent and machine learning techniques, it becomes possible for the robot to acquire and show the emotions as a part of Human-Robot Interaction (HRI). An emotional robot can recognize the emotional states of humans so that it will be able to interact more naturally with its human counterpart in different environments. In this article, a survey on emotion recognition for HRI systems has been presented. The survey aims to achieve two objectives. Firstly, it aims to discuss the main challenges that face researchers when building emotional HRI systems. Secondly, it seeks to identify sensing channels that can be used to detect emotions and provides a literature review about recent researches published within each channel, along with the used methodologies and achieved results. Finally, some of the existing emotion recognition issues and recommendations for future works have been outlined.


Keywords


affective computing, social robotics, emotional HRI challenges

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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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