Automatic Emotion Recognition Based on Body Movement Analysis: A Survey

Haris Zacharatos · Christos Gatzoulis · Yiorgos Chrysanthou

77 citations0/0 files storedIEEE Computer Graphics and Applications

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Emotion and Mood Recognition Context-Aware Activity Recognition Systems Human Pose and Action Recognition

Abstract

Humans are emotional beings, and their feelings influence how they perform and interact with computers. One of the most expressive modalities for humans is body posture and movement, which researchers have recently started exploiting for emotion recognition. This survey describes emerging techniques and modalities related to emotion recognition based on body movement, as well as recent advances in automatic emotion recognition. It also describes application areas and notation systems and explains the importance of movement segmentation. It then discusses unsolved problems and provides promising directions for future research. The Web extra (a PDF file) contains tables with additional information related to the article.

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References

1980A circumplex model of affect.1988The Cognitive Structure of Emotions 1996Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament 2012Affective Body Expression Perception and Recognition: A Survey 2007Recognising Human Emotions from Body Movement and Gesture Dynamics 2011Automatic Recognition of Non-Acted Affective Postures 2012The Body Action and Posture Coding System (BAP): Development and Reliability 2012What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?

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