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PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis

机译:性能:使用Laban运动分析将OCEAN个性添加到人体运动中的感知方法

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A major goal of research on virtual humans is the animation of expressive characters that display distinct psychological attributes. Body motion is an effective way of portraying different personalities and differentiating characters. The purpose and contribution of this work is to describe a formal, broadly applicable, procedural, and empirically grounded association between personality and body motion and apply this association to modify a given virtual human body animation that can be represented by these formal concepts. Because the body movement of virtual characters may involve different choices of parameter sets depending on the context, situation, or application, formulating a link from personality to body motion requires an intermediate step to assist generalization. For this intermediate step, we refer to Laban Movement Analysis, which is a movement analysis technique for systematically describing and evaluating human motion. We have developed an expressive human motion generation system with the help of movement experts and conducted a user study to explore how the psychologically validated OCF.AN personality factors were perceived in motions with various Laban parameters. We have then applied our findings to procedurally animate expressive characters with personality, and validated the generalizability of our approach across different models and animations via another perception study.
机译:虚拟人类研究的主要目标是表现出鲜明心理特征的表达性人物的动画。身体动作是刻画不同个性和区分角色的有效方法。这项工作的目的和贡献是描述人格与身体动作之间的正式,广泛适用的,基于程序的和基于经验的关联,并应用该关联来修改可以由这些形式概念表示的给定虚拟人体动画。由于虚拟角色的身体运动可能取决于上下文,情况或应用,因此可能涉及参数集的不同选择,因此制定从个性到身体运动的链接需要一个中间步骤来辅助概括。对于此中间步骤,我们指的是拉班运动分析,这是一种用于系统地描述和评估人体运动的运动分析技术。我们在运动专家的帮助下开发了具有表现力的人体运动生成系统,并进行了用户研究,以探索如何在心理上验证过的OCF.AN人格因素在具有各种Laban参数的运动中的感知能力。然后,我们将我们的发现应用于具有个性的程序化表情人物动画中,并通过另一项感知研究验证了我们的方法在不同模型和动画中的普遍性。

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