Bayesian Inference based Temporal Modeling for  Naturalistic Affective Expression  Classification

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	Bayesian Inference based Temporal Modeling for Naturalistic Affective Expression Classification
	Linlin Chao; Jianhua Tao; Minghao Yang
	2013
会议日期	2013-9
会议地点	Geneva, Switzerland
关键词	Affect Dimensions
页码	173-178
英文摘要	1;in real life, the affective state of human beings changes gradually and smoothly. There is a high probability that the affective state of a certain moment depends on the states of a previous period. In this study, we propose to explicitly model the temporal relationship using a Bayesian inference based two-stage classification approach. This approach could involve knowledge about the dynamics of affective states during a period, so that the inferred affective states are predicted by considering a certain amount of context. Evaluations on the Audio Sub-Challenge of the 2011 Audio/Visual Emotion Challenge show our approach obtains competitive results to those of Audio Sub-Challenge winners. The temporal context modeling method proposed in this paper is also helpful for other sequential pattern recognition problems.
会议录	2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
语种	英语
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/41236]
专题	模式识别国家重点实验室_智能交互
通讯作者	Linlin Chao
推荐引用方式 GB/T 7714	Linlin Chao,Jianhua Tao,Minghao Yang. Bayesian Inference based Temporal Modeling for Naturalistic Affective Expression Classification[C]. 见:. Geneva, Switzerland. 2013-9.