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

Authors

Benjamin Stephens-Fripp, University of WollongongFollow
Fazel Naghdy, University of WollongongFollow
David Stirling, University of WollongongFollow
Golshah Naghdy, University of WollongongFollow

RIS ID

117817

Publication Details

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.

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.