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Automatic Affect Perception Based on Body Gait and Posture: A Survey

Journal Article


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Abstract


  • There has been a growing interest in machine-based recognition of emotions from body gait and its combination with other modalities. In order to highlight the major trends and state of the art in this area, the literature dealing with machine-based human emotion perception through gait and posture is explored. Initially the effectiveness of human intellect and intuition in perceiving emotions in a range of cultures is examined. Subsequently, major studies in machine-based affect recognition are reviewed and their performance is compared. The survey concludes by critically analysing some of the issues raised in affect recognition using gait and posture, and identifying gaps in the current understanding in this area.

Publication Date


  • 2017

Citation


  • B. Stephens-Fripp, F. Naghdy, D. Stirling & G. Naghdy, "Automatic Affect Perception Based on Body Gait and Posture: A Survey," International Journal of Social Robotics, vol. 9, (5) pp. 617-641, 2017.

Scopus Eid


  • 2-s2.0-85035096749

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1849&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/847

Number Of Pages


  • 24

Start Page


  • 617

End Page


  • 641

Volume


  • 9

Issue


  • 5

Place Of Publication


  • Netherlands

Abstract


  • There has been a growing interest in machine-based recognition of emotions from body gait and its combination with other modalities. In order to highlight the major trends and state of the art in this area, the literature dealing with machine-based human emotion perception through gait and posture is explored. Initially the effectiveness of human intellect and intuition in perceiving emotions in a range of cultures is examined. Subsequently, major studies in machine-based affect recognition are reviewed and their performance is compared. The survey concludes by critically analysing some of the issues raised in affect recognition using gait and posture, and identifying gaps in the current understanding in this area.

Publication Date


  • 2017

Citation


  • B. Stephens-Fripp, F. Naghdy, D. Stirling & G. Naghdy, "Automatic Affect Perception Based on Body Gait and Posture: A Survey," International Journal of Social Robotics, vol. 9, (5) pp. 617-641, 2017.

Scopus Eid


  • 2-s2.0-85035096749

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1849&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/847

Number Of Pages


  • 24

Start Page


  • 617

End Page


  • 641

Volume


  • 9

Issue


  • 5

Place Of Publication


  • Netherlands