Output details
11 - Computer Science and Informatics
University College London
Article title
Automatic Recognition of Non-Acted Affective Postures
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man and Cybernetics, Part B
Article number
-
Volume number
41
Issue number
4
First page of article
1027
ISSN of journal
1083-4419
Year of publication
2011
Number of additional authors
2
Additional information
<20>This is the first paper to propose an automatic emotion recognition system based on body posture in naturalistic game situations. Previous works focused on acted data. This is instrumental for the design of more effective entertainment and serious games where emotions are critical for their success. The work is based on extensive perceptual studies with a thorough statistical analysis to identify emotion-discriminative body features and the creation and testing of the automatic emotion recognition system. It led to an invited 2012- TEDxStMartin talk with 870 views and to be invited to write a chapter in the Handbook of Affective Computing.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
20
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
