Study of emotion recognition under anxiety based on physiological signals by relief method / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 186-189, 2014.
Artigo
em Chinês
| WPRIM
| ID: wpr-259899
ABSTRACT
Anxiety is usually generated because of the threatened feeling. The data of electrocardio, respiration, blood volume pulse and skin conductance signals were collected. The arithmetic of Relief were used for the feature selection and combined with k-Nearest Neighbor (kNN) arithmetic and Support Vector Machine (SVM) arithmetic for classification. The results show that the combination of Relief-SVM is better than combination of Relief-kNN on the recognition of anxiety state. The emotion recognition based on multi-physiological signals is superior to that based on one single signal.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Ansiedade
/
Algoritmos
/
Reconhecimento Automatizado de Padrão
/
Inteligência Artificial
/
Máquina de Vetores de Suporte
Limite:
Humanos
Idioma:
Chinês
Revista:
Chinese Journal of Medical Instrumentation
Ano de publicação:
2014
Tipo de documento:
Artigo
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