JOURNAL ARTICLE
Personality expression in cartoon animal characters using Sasang typology.
Published In: Computer Animation & Virtual Worlds, 2023, v. 34, n. 3/4. P. 1 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Mailee, Hamila; Sonlu, Sinan; Güdükbay, Uğur 3 of 3
Abstract
The movement style is an adequate descriptor of different personalities. While many studies investigate the relationship between apparent personality and high‐level motion qualities in humans, similar research for animal characters still needs to be done. The variety in animals' skeletal configurations and texture complicates their pose estimation process. Our affect analysis framework includes a workflow for pose extraction in animal characters and a parameterization of the high‐level animal motion descriptors inspired by Laban movement analysis. Using a data set of quadruped walk cycles, we prove the display of typologies in cartoon animal characters, reporting the point‐biserial correlation between our motion parameters and the Sasang categories that reflect different personalities. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Computer Animation & Virtual Worlds. 2023/05, Vol. 34, Issue 3/4, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:15464261
- DOI:10.1002/cav.2164
- Accession Number:164115844
- Copyright Statement:Copyright of Computer Animation & Virtual Worlds is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.