.png){kind=icon}
返回
Eyecatch: Simulating Visuomotor Coordination for Object Interception
.png){kind=icon}
PRE
AI
DOI：10.1145/2185520.2185538.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present a novel framework for animating human characters performing fast visually guided tasks, such as catching a ball. The main idea is to consider the coordinated dynamics of sensing and movement. Based on experimental evidence about such behaviors, we propose a generative model that constructs interception behavior online, using discrete submovements directed by uncertain visual estimates of target movement. An important aspect of this framework is that eye movements are included as well, and play a central role in coordinating movements of the head, hand, and body. We show that this framework efficiently generates plausible movements and generalizes well to novel scenarios.
Keyword:
human animation
sensorimotor computation
eye ovements
catching
interception
movement coordination
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.5
论文数:
4.7K
被引数:
3.6W
机构
引用论文
LIM Homeobox 9 knockdown by morpholino does not affect zebrafish retinal development.png)
Biology Open
OAAI
Biology OpenIF0
OAAI分享收藏分享收藏Achieving Regio‐ and Enantioselectivity of P450‐Catalyzed Oxidative CH Activation of Small Functionalized Molecules by Structure‐Guided Directed EvolutionChemBioChem
ChemBioChemIF0
PREAI
分享收藏Transferencias intergubernamentales y disparidades fiscales a nivel subnacional en Argentina
IF0
PREAI
分享收藏
查看更多内容