Output details
15 - General Engineering
Brunel University London
Article title
Affective State Level Recognition in Naturalistic Facial and Vocal Expressions
Type
D - Journal article
Title of journal
IEEE Transactions on Cybernetics
Article number
-
Volume number
n/a
Issue number
-
First page of article
1
ISSN of journal
2168-2275
Year of publication
2013
Number of additional authors
1
Additional information
This paper is an extended version of the conference paper “Naturalistic Affective Expression Classification by a Multi-Stage Approach Based on Hidden Markov Models” that won the sub-challenge of 1st International Audio/Visual Emotion Challenge (AVEC) in 2011. The proposed method achieved the best performance in AVEC2011 challenge contest for audio modality. In this paper, the method was improved, extended for both video and audio modality and evaluated in two more datasets. The research work has led to an international research exchange project (with Tsinghua University in China) funded by Royal society of Engineering for further development in 2012.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
