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Titlebook: Affective Computing and Intelligent Interaction; First International Jianhua Tao,Tieniu Tan,Rosalind W. Picard Conference proceedings 2005

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期刊全称Affective Computing and Intelligent Interaction
期刊简称First International
影响因子2023Jianhua Tao,Tieniu Tan,Rosalind W. Picard
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Affective Computing and Intelligent Interaction; First International  Jianhua Tao,Tieniu Tan,Rosalind W. Picard Conference proceedings 2005
影响因子This volume contains the proceedings of the 1st International Conference on A?ective Computing and Intelligent Interaction (ACII 2005) held in Beijing, China, on 22–24 October 2005. Traditionally, the machine end of human–machine interaction has been very passive, and certainly has had no means of recognizing or expressing a?ective information. But without the ability to process such information, computers cannot be expected to communicate with humans in a natural way. The ability to recognize and express a?ect is one of the most important features of - man beings. We therefore expect that computers will eventually have to have the ability to process a?ect and to interact with human users in ways that are similar to those in which humans interact with each other. A?ective computing and intelligent interaction is a key emerging technology that focuses on m- iad aspects of the recognition, understanding, and expression of a?ective and emotional states by computers. The topic is currently a highly active research area and is receiving increasing attention. This strong interest is driven by a wide spectrum of promising applications such as virtual reality, network games, smart surveill
Pindex Conference proceedings 2005
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Corporate Governance und Stakeholder-Ansatzedback. The student’s facial expressions, put in context, could provide cues with respect to this state. We discuss the analysis of the facial expression displayed by students interacting with an Intelligent Tutoring System and our attempts to relate expression, situation and mental state building o
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Konzeptionalisierung und Hypothesenbildung, this problem utilize the extension technique of factorization based on rank constraint to the tracking matrix, where the 3D shape of nonrigid object is expressed as weighted combination of a set of shape bases. All these solutions are based on the assumption of affine camera model. This assumption
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Baliira Kalyebara,Sardar M. N. Islamtain AU codes of a new facial image, IGA is applied to retrieve a match instance based on users’ evaluation, from the case base. Then the solution suggested by the matching case is used as the AU codes to the new facial image. The effectiveness of our approach is evaluated by 16 standard facial imag
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