5 Citations (Scopus)

Abstract

In the animation movie production, there is a common tool namely motion capture (mocap) to capture the motion of actors. Using this technology, reconstruction of actors motion is being mapped to drive 3D character in the animation. In the reconstruction process of human motion, there were some significant parameters that affect the quality of the result such as subtle motion and high precision reconstruction. In order to get the best result, it requires some configurations such as camera disposition, camera configuration, and marker arrangement that should be placed in the proper position. Furthermore, after the capturing process, the result needs to be repaired due to misplaced or unable to define some markers. The result of this research is a Human Motion Database (HMDB), consist of poses which express basic emotion based on database from The Bodily Expressive Action Stimulus Test (BEAST). Basic emotions are anger, fear, happiness and sadness. The database result evaluated by conducting classification and validation of the data affective poses. Pose data is represented by rotation value of each joint in the skeleton. This value classified using machine learning to predict each pose to emotion classes. Classification result of the affective pose has the highest accuration score was fear class. Respectively the accuracy of class fear, anger, happiness and sadness are 96.87%, 95.62%, 94.37%, and 94.37%/

Original languageEnglish
Title of host publication2017 International Seminar on Intelligent Technology and Its Application
Subtitle of host publicationStrengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-285
Number of pages5
ISBN (Electronic)9781538627068
DOIs
Publication statusPublished - 28 Nov 2017
Event18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017 - Surabaya, Indonesia
Duration: 28 Aug 201729 Aug 2017

Publication series

Name2017 International Seminar on Intelligent Technology and Its Application: Strengthening the Link Between University Research and Industry to Support ASEAN Energy Sector, ISITIA 2017 - Proceeding
Volume2017-January

Conference

Conference18th International Seminar on Intelligent Technology and Its Application, ISITIA 2017
Country/TerritoryIndonesia
CitySurabaya
Period28/08/1729/08/17

Keywords

  • Bodily expressions
  • Dynamic expression emotions
  • Human motion database
  • Optical motion capture

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