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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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