Journal
NEURAL NETWORKS
Volume 21, Issue 9, Pages 1238-1246Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2008.05.003
Keywords
Body language; Categorical recognition; Emotion recognition; Biologically inspired model
Funding
- EU project COBOL [NEST043403]
Ask authors/readers for more resources
Research into the visual perception of human emotion has traditionally focused on the facial expression of emotions. Recently researchers have turned to the more challenging field of emotional body language, i.e. emotion expression through body pose and motion. In this work, we approach recognition of basic emotional categories from a Computational perspective. In keeping with recent Computational models of the visual cortex, we construct a biologically plausible hierarchy of neural detectors, which call discriminate seven basic emotional states from static views of associated body poses. The model is evaluated against human test subjects on a recent set of stimuli manufactured for research on emotional body language. (C) 2008 Elsevier Ltd. All rights reserved
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available