A Recurrent Neural Model for Parameter Estimation of Mixed Emotions from Facial Expressions of the Subjects

被引：0
|
作者：
Ghosh, M. [1 ]
Chakraborty, A. [2 ]
Acharya, A. [1 ]
Konar, A. [1 ]
Panigrahi, B. K. [3 ]
机构：
[1] Jadavpur Univ, Artificial Intelligence Lab, ETCE Dept, Kolkata 32, India
[2] St Thomas Coll Engn & Tech, Dept Comp Engn & Sci, Kolkata, India
[3] IIT Delhi, Dept Elect Engn, Delhi, India
来源：
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 | 2009年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper provides a novel approach to represent cooperative/competitive interactions among coexisting emotions by a recurrent neural dynamics, and proposes a scheme for parameter estimation of the dynamics from the facial expressions of the subjects, psychologically excited by audiovisual stimulus taken from select commercial movies. Conditions for chaotic and stable behavior of the neural dynamics have been derived, and the same parametric conditions are used to predict the fluctuating dynamic behavior of emotions by testing the satisfiability of the conditions over the measured range of parameters.
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页码：3421 / +
页数：3
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