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Efficient Emotional Relaxation Framework with Anisotropic Features Based Dijkstra Algorithm

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(4), pp.79-86
  • DOI : 10.9708/jksci.2020.25.04.079
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 23, 2020
  • Accepted : April 21, 2020
  • Published : April 30, 2020

Jong-Hyun Kim 1

1강남대학교

Accredited

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.

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