Personalized Emotion Model Based on Support Vector Machine

Jin-bin Wu () and Wan-sen Wang
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Jin-bin Wu: Information Engineering Institute Capital Normal University
Wan-sen Wang: Information Engineering Institute Capital Normal University

Chapter Chapter 160 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1519-1525 from Springer

Abstract: Abstract Emotion deficit is an intelligent in e-learning technology research. The main purpose of the paper is based on Support Vector Machine (SVM) through the samples data analysis of the face area, interpupillary distance, eye spacing and mouth curvature to build to the aversion degree, cheer degree and pleasure degree based emotion model of personality academic emotions. All of these lay the foundation for emotional teaching in E-Learning system.

Keywords: Academic emotions; Emotion deficit; E-Learning; Support vector machine (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_160

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DOI: 10.1007/978-3-642-38391-5_160

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