The EMOTE model for effort and shape

By Diane M. Chi, Mónica Costa, Liwei Zhao, N. Badler. International Conference on Computer Graphics and Interactive Techniques, 2000

479 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e2cff2887974c9ff41f67b7d666bdafc3ed7b53d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Jessica K. Hodgins
2. Jinxiang Chai
3. Timothy W. Bickmore
4. Katherine Pullen
5. C. Bregler
6. Kristen Grauman
7. Luc Van Gool
8. Jitendra Malik

In Control and Systems Engineering

1. Jinxiang Chai
2. Jessica K. Hodgins
3. Timothy W. Bickmore
4. Justine Cassell
5. Katherine Pullen
6. C. Bregler
7. D.A. Forsyth
8. Okan Arikan

In Human-Computer Interaction

1. Justine Cassell
2. Timothy W. Bickmore
3. C. Bregler

Citations in the corpus

• Creating Interactive Virtual Humans: Some Assembly Required (2002, unknown): “11,24,39,40 The particular challenge here is constructing computer graphics human models that balance sufficient articulation, detail, and motion generators to effect both gross and subtle movements with realism, real-time responsiveness, and visual acceptability.”
• Methodology for Assessing Bodily Expression of Emotion (2010, methodology): “An Effort-Shape approach has been used to generate naturalistic synthetic gestures in character animations ( Chi et al. 2000 ) and to describe the movement characteristics of individuals with varying anxiety and depression scores and different personality types (Levy and Duke 2003).”
• Interactive control of avatars animated with human motion data (2002, background): “Animated human figures have been driven by keyframed motion, rule-based systems [Bruderlin and Calvert 1989; Perlin 1995; Bruderlin and Calvert 1996; Perlin and Goldberg 1996; Chi et al. 2000; Cassell et al. 2001], control systems and dynamics [Hodgins et al.”
• Motion capture assisted animation: texturing and synthesis (2002, background): “In other interesting work, Chi and her colleagues [Chi et al. 2000] presented work with similar goals to ours, in that they were seeking to create a method that allows animators to enhance the style of pre-existing motions in an intuitive manner.”
• BEAT: the Behavior Expression Animation Toolkit (2001, methodology): “[14] have concentrated on providing a tool for controlling the expressive shape and effort characteristics of gestures.”