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Accession number:
20150500480853
Title: Simulating a crowd with dynamic emotional transmission based on Hidden Markov model
Authors: Jiang, Xueling1, 2; Qin, Shuijie1 Email author shuijie@gmail.com
Author affiliation: 1 Laboratory for Photoelectric Technology and Application, Guizhou University, Guiyang, Guizhou, China
2 College of Computer and Information Engineering, Guangxi Teachers Education University, Nanning, Guangxi, China
Corresponding author: Qin, Shuijie
Source title: Computer Modelling and New Technologies
Abbreviated source title: Comput. Model. New Technol.
Volume: 18
Issue: 6
Issue date: 2014
Publication year: 2014
Pages: 166-172
Language: English
ISSN: 14075806
E-ISSN: 14075814
Document type: Journal article (JA)
Publisher: Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia
Abstract: Crowd simulation has been widely applied in computer animation and graphics rendering technology. However, the social communication and emotional characteristics are often unrecognized in crowd simulation. In psychology, there are two kinds of emotional factors for humans: the internal one from the individual, and the external one from the neighbours. To this end, in this work, we propose simulate a crowd using affective computing with dynamic emotional transmission. Specifically, we use Hidden Markov Model (HMM) to model the emotions for individuals with consideration of personality, and to capture the internal emotion state transfer. Besides, we abstract a two-layer transmission process to quantify the impact from highly active neighbours. In addition, we conduct some simulation experiments to evaluate our proposed model.
Number of references: 32
Main heading: Markov processes
Controlled terms: Animation - Computer graphics - Hidden Markov models
Uncontrolled terms: Affective Computing - Computer animation - Crowd Simulation - Emotional factors - Emotional transmissions - Graphics rendering - Social communications - State transfer
Classification code: 723.5 Computer Applications - 922 Statistical Methods - 922.1 Probability Theory
Database: Compendex
Compilation and indexing terms, © 2016 Elsevier Inc.

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