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Comparing Bayesian Networks to Classify Facial Expressions
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| In this paper are presented two distinct Bayesian networks to analyse human beings' facial expressions. Both classifiers are completely defined: structure of the networks, belief variables and respective events, likelihoods, initial priors and procedure to change dynamically priors. The performance (relatively to the convergence) of the two approaches is compared. For both networks, the classification is done associating the facial expression to the probabilities of five emotional states: anger, fear, happy, sad and neutral. A justification for the usage of this set is presented: it is based in emotional states presented by human beings during social relationships. Classifiers as these described here can be used in Human Robot Interation. We believe that this interaction shall be done in a similar way of that used by human beings to communicate between them and, after all, facial expressions is one of the main non-verbal means of communication used by human. | 1.59 MB | Adobe PDF |
Orientador(es)
Resumo(s)
In this paper are presented two distinct Bayesian networks to analyse human beings' facial expressions. Both classifiers are completely defined: structure of the networks, belief variables and respective events, likelihoods, initial priors and procedure to change dynamically priors. The performance (relatively to the convergence) of the two approaches is compared. For both networks, the classification is done associating the facial expression to the probabilities of five emotional states: anger, fear, happy, sad and neutral. A justification for the usage of this set is presented: it is based in emotional states presented by human beings during social relationships. Classifiers as these described here can be used in Human Robot Interation. We believe that this interaction shall be done in a similar way of that used by human beings to communicate between them and, after all, facial expressions is one of the main non-verbal means of communication used by human.
Descrição
Conference name - IASTED International Conference on Robotics and Applications, RA 2010; Conference date - 1 November 2010 - 3 November 2010; Conference code - 89095
Fonte: https://www.researchgate.net/publication/235887197_Comparing_Bayesian_Networks_to_Classify_Facial_Expressions
Fonte: https://www.researchgate.net/publication/235887197_Comparing_Bayesian_Networks_to_Classify_Facial_Expressions
Palavras-chave
Facial Expressions Bayesian Networks HRI
Contexto Educativo
Citação
Simplicio, C., Prado, J., & Dias, J. (2010). Comparing bayesian networks to classify facial expressions. In Proceedings of RA-IASTED, The 15th IASTED International Conference on Robotics and Applications, Cambridge, Massachusetts, USA. DOI: https://doi.org/10.2316/p.2010.706-065.
Editora
Acta Press
Licença CC
Sem licença CC