Crowd-sourced Evaluation of Combat Animations

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

Combat sequences are commonly seen in films, animated media, and video games. Although significant advancements have led to the creation of extensive online collections of these animations, selecting suitable motions for specific uses remains challenging because of their dynamic characteristics. This dynamism and perceptual complexity stem from stylized combat scenes' diverse physical and aesthetic elements. This paper introduces a novel methodology to comprehend user preferences in combat animations with a crowd-sourced learning strategy. We deduce user preferences towards certain motion attributes, which are not easily identifiable through raw geometric data. Our study primarily focuses on sword fighting, which is widely popular in combat scenes.

Identifier

85187214317 (Scopus)

ISBN

[9798350372021]

Publication Title

Proceedings - 2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality, AIxVR 2024

External Full Text Location

https://doi.org/10.1109/AIxVR59861.2024.00015

First Page

60

Last Page

65

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