Inherent Emotional Feature Extraction of Neonatal Cry†
AbstractMining the inherent emotional feature of life is of great significance, and the method to extract the inherent emotional feature with a small number of samples is explored based on neonatal cry in this study. The minimum embedding dimension is taken as the nonlinear feature representing nervous system activity and emotion, and is also analyzed at multiple scales. It is found that the minimum embedding dimension of pain cries is higher than that of sad cries, and has a certain change rule in different frequency bands. The results are consistent with related emotional research of brain nerve activity and the characteristics of the pain cry, and may help in the study of information ecology of the brain in different emotions.
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Zhao, X.; Meng, J.; Xu, W. Inherent Emotional Feature Extraction of Neonatal Cry. Proceedings 2017, 1, 140.
Zhao X, Meng J, Xu W. Inherent Emotional Feature Extraction of Neonatal Cry. Proceedings. 2017; 1(3):140.Chicago/Turabian Style
Zhao, Ximeng; Meng, Jun; Xu, Wenyuan. 2017. "Inherent Emotional Feature Extraction of Neonatal Cry." Proceedings 1, no. 3: 140.
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