Earticle

초록

영어

Technology in the animation industry has evolved significantly over the past decade. The tools to create animation are becoming more intuitive to use. Animators now spend more time on the artistic quality of their work than wasting time figuring out how to use the software that they rely on. However, one particular tool that is still unintuitive for animators is the motion graph editor. A motion graph editor is a tool to manipulate the interpolation of the movements generated by the software. Although the motion graph editor contains a lot of options to control the outcome of the animation, the emotional rhythm of the movements desired by the animator still depends on the animator’s skill, which requires a very steep learning curve. More often than not, animators had to resort to trial and error methods to achieve good results. This inevitably leads to slow productivity, susceptible to mistakes, and waste of resources. This research will study the connection between the motion graph profile and the emotions they portray in movements. The findings will hopefully be able to provide animators reference materials to achieve the emotional animation they need with less effort.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Framework
 4. Preparation of Mocap Data For Motion Graph Extraction
 5. Sample Size
 6. Axis Scaling and Graph Alignments
 7. Graph Analysis
 8. Standard Walk Versus Emotional Walk
 9. Happy Versus Sad
 10. Conclusions And Future Contributions
 Acknowledgment
 References

키워드

저자

• Ayub bin Abdul Rahman [ International Islamic University Malaysia ] Corresponding Author
• Dr. Normaziah Abdul Aziz [ International Islamic University Malaysia ]
• Dr. Syarqawi Hamzah [ International Islamic University Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Culture Technology(IJACT)

• 간기

  계간

• pISSN

  2288-7202

• eISSN

  2288-7318

• 수록기간

  2013~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700