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http://dx.doi.org/10.9708/jksci.2020.25.04.079

Efficient Emotional Relaxation Framework with Anisotropic Features Based Dijkstra Algorithm  

Kim, Jong-Hyun (Dept. of Software Application, Kangnam University)
Publication Information
Journal of the Korea Society of Computer and Information / v.25, no.4, 2020 , pp. 79-86 More about this Journal
Abstract
In this paper, we propose an efficient emotional relaxation framework using Dijkstra algorithm based on anisotropic features. Emotional relaxation is as important as emotional analysis. This is a framework that can automatically alleviate the person's depression or loneliness. This is very important for HCI (Human-Computer Interaction). In this paper, 1) Emotion value changing from facial expression is calculated using Microsoft's Emotion API, 2) Using these differences in emotion values, we recognize abnormal feelings such as depression or loneliness. 3) Finally, emotional mesh based matching process considering the emotional histogram and anisotropic characteristics is proposed, which suggests emotional relaxation to the user. In this paper, we propose a system which can recognize the change of emotion easily by using face image and train personal emotion by emotion relaxation.
Keywords
Emotional relaxation; anisotropic features; Dijkstra algorithm; Human-computer interaction;
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