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

Content Provider	Springer Nature Link
Author	Stephens Fripp, Benjamin Naghdy, Fazel Stirling, David Naghdy, Golshah
Copyright Year	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.
Starting Page	617
Ending Page	641
Page Count	25
File Format	PDF
ISSN	18754791
Journal	International Journal of Social Robotics
Volume Number	9
Issue Number	5
e-ISSN	18754805
Language	English
Publisher	Springer Netherlands
Publisher Date	2017-09-14
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Affect recognition Body gesture Gait recognition Human emotion recognition Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Philosophy Control and Systems Engineering Social Psychology Electrical and Electronic Engineering Human-Computer Interaction

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