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Summary

This study introduces a framework using motion capture and biosignal sensors to enable performers to design animated characters' emotions and personalities in real-time. This approach merges digital arts and performing arts for more expressive character animation.

Keywords:
biosignalscharacter designdigital animationmotion capturenonverbal communicationsensors

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Area of Science:

  • Digital Arts
  • Animation Technology
  • Human-Computer Interaction

Background:

  • Digital technology has significantly innovated animation techniques and pipelines.
  • Motion capture sensors integrate precise human movement into animation, fostering collaboration between digital and performing arts.
  • Wearable technology captures biosignals (e.g., heart rate) reflecting performer's emotional states.

Purpose of the Study:

  • To propose a framework for integrating the performer's role in real-time digital character animation design.
  • To utilize performer's movement and biosignals as a means to define a character's affect, expression, and personality.
  • To explore an embodied perspective for digital animation by leveraging real-world performer data.

Main Methods:

  • Review of state-of-the-art and relevant literature on nonverbal personality traits and expression.
  • Analysis of concepts from animation, social psychology, and performing arts.
  • Proposal of a workflow integrating methodological and technological tools for embodied animation.

Main Results:

  • Established a connection between performer's physical and emotional states captured by sensors and the animated character's nonverbal cues.
  • Demonstrated the potential of biosignals as metaphors for visualizing internal character reactions and sensations.
  • Outlined a methodology for creating animated characters with nuanced, performer-driven personalities.

Conclusions:

  • The proposed framework enables performers to act as real-time designers of animated character personality and emotion.
  • This embodied approach enhances the expressivity and depth of digital characters by grounding them in human performance.
  • The integration of sensors and performer data offers a novel pathway for innovation in digital character animation.