Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1836845.1836856acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
research-article

Lions and tigers and bears: investigating cues for expressive creature motion

Published: 26 July 2010 Publication History

Abstract

A digital creature's performance can be thought of as a combination of specifically defined motion and form; a combination that allows the viewer to comprehend the creature's action and intent. Computer graphics offers a variety of methods for defining motion including key-frame animation, data-driven action, rule-based and physically-based motion. However, all of these methods can be complex and time-consuming to implement. Essentially, most computer animation methods force the animator to think about motion at a low-level of abstraction. To create animation tools that simplify the process of creating expressive motion, we need to allow animators to work at a high-level of abstraction. We need determine the minimal elements of form and motion that visually communicate a maximal amount of information about an actor's identity or intentions. By attaching small reflective objects to joint pivot locations and recording at high contrast [Johansson 1973] developed a method for isolating motion from form as a collection of particles, now commonly known as a Point-Light Display (PLD). Manipulating this minimized visual information can even affect the perceived gender of PLD walkers. Cutting [1978] found that exaggerating the movement of points representing the hips and shoulders can bias gender recognition. The goal of our study was to investigate whether viewers use similar visual information to recognize expressive characteristics in animal motion PLDs as when viewing full representations and discover how it might be possible to use that visual information to influence the viewer's perception.

References

[1]
Cutting, J., Proffitt, D., and Kozlowski, L. 1978. A biomechanical invariant for gait perception. J. Experimental Psychology: Human Perception and Performance 4, 3, 357--372.
[2]
Johansson, G. 1973. Visual perception of biological motion and a model for its analysis. Perception & Psychophysics 14, 2, 201--211.
[3]
Mather, G., and West, S. 1993. Recognition of animal locomotion from dynamic point-light displays. Perception 22, 7, 759--766.

Cited By

View all
  • (2013)Perceiving biological motions of real dog actions and human mimicry2013 IEEE Virtual Reality (VR)10.1109/VR.2013.6549391(119-120)Online publication date: Mar-2013

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGGRAPH '10: ACM SIGGRAPH 2010 Posters
July 2010
156 pages
ISBN:9781450303934
DOI:10.1145/1836845
  • Conference Chair:
  • Cindy Grimm
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 July 2010

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Conference

SIGGRAPH '10
Sponsor:

Acceptance Rates

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 27 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2013)Perceiving biological motions of real dog actions and human mimicry2013 IEEE Virtual Reality (VR)10.1109/VR.2013.6549391(119-120)Online publication date: Mar-2013

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media