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Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives.

Matteo Spezialetti1,2, Giuseppe Placidi3, Silvia Rossi1

  • 1PRISCA (Intelligent Robotics and Advanced Cognitive System Projects) Laboratory, Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy.

Frontiers in Robotics and AI
|January 27, 2021
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Summary

Robots can better understand human emotions through advanced emotion recognition techniques. This research reviews current methods for robots to interpret feelings, enhancing human-robot interaction for more natural engagement.

Keywords:
affective computingemotion recognition (ER)human-robot interactionmachine learningmultimodal data

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Affective Computing

Background:

  • Human-robot interaction (HRI) aims for intuitive and natural engagement.
  • Endowing robots with emotional intelligence is key to achieving this goal.
  • Accurate human emotion recognition is critical for robot emotional intelligence.

Purpose of the Study:

  • To review the state-of-the-art in emotion recognition for HRI.
  • To examine current emotional models, interaction modalities, and classification strategies.
  • To provide insights into future developments and challenges in the field.

Main Methods:

  • Focus on multimodal emotion recognition: facial expressions, body poses, kinematics, voice, brain activity, and physiological responses.
  • Review of existing emotional models and interaction modalities.
  • Analysis of classification strategies for emotion detection.

Main Results:

  • Identified key modalities for emotion recognition in HRI.
  • Summarized current approaches in emotional modeling and classification.
  • Highlighted the importance of multimodal data for robust emotion inference.

Conclusions:

  • Advances in emotion recognition are crucial for developing emotionally intelligent robots.
  • Multimodal approaches offer a promising direction for accurate human emotion interpretation.
  • Further research is needed to address critical issues and future developments in HRI.