CAREER: Synthesis of Autonomous, Realistic Human Motion

职业：自主、真实的人体运动的综合

• 批准号: 0742302
• 负责人: Karen Liu
• 金额: $ 40万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-07-01 至 2013-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0742302&HistoricalAwards=false
• 关键词: CAREER; Synthesis; Autonomous; Realistic; Human

Modeling believable human characters in the virtual environment is crucial for unleashing the potential of computers as an interactive medium. A realistic depiction of human motion drastically enhances the perceptual immersion for task training, social communication, or tele-learning. In a believable virtual environment, a human character must be able to plan its locomotion, react to the environment, and engage other virtual characters or real humans with realistic display of emotion and personality. This daunting task requires simulation from the musculoskeletal system to the nervous system, as these intricate components must coordinate in synchrony when a functional activity is undertaken. Physics-based character animation today can simulate complex locomotion sequences with stunning visual realism, albeit under the careful guidance of the animator. What is missing from most character animation techniques is autonomous control, both conscious and unconscious. In this project, the investigator expands computer-generated character animation from a visualization tool to an interdisciplinary research area focused on autonomous control and realistic locomotion.This project focuses on two inter-related research thrusts fundamentally aligned with the interdisciplinary nature of the investigator's research theme: (1) synthesis of non-ballistic, low-energy human locomotion, and (2) synthesis of interaction among multiple characters. Unlike ballistic and highly dynamic motion, non-ballistic motion is not stringently determined by physics, thus requiring more sophisticated models to address the complex interplay of unconscious autonomous control, such as physiology and emotion, and conscious autonomous control, such as the intents of the character. The autonomous control becomes even more crucial when multiple character interaction comes into play. Synthesis of interaction is challenging because the high-level artificial intelligence algorithms and low-level locomotion intertwine in an unpredictable manner when the interaction takes place. Beyond the scope of computer animation, this computational model can provide a device for recognizing emotion, diagnosing musculoskeletal anomalies, or validating biomechanical hypotheses.

在虚拟环境中建立可信的人类角色模型对于释放计算机作为交互媒介的潜力至关重要。对人体运动的逼真描绘大大增强了任务训练、社交或远程学习的感知沉浸感。在可信的虚拟环境中，人类角色必须能够规划其运动，对环境做出反应，并通过逼真的情感和个性展示与其他虚拟角色或真实的人类进行互动。这项艰巨的任务需要从肌肉骨骼系统到神经系统的模拟，因为当进行功能活动时，这些复杂的组件必须同步协调。基于物理的角色动画今天可以模拟复杂的运动序列与惊人的视觉现实主义，尽管在动画师的精心指导下。大多数角色动画技术所缺少的是自主控制，包括有意识和无意识的。在这个项目中，研究者将计算机生成的角色动画从一个可视化工具扩展到一个跨学科的研究领域，专注于自主控制和逼真的运动。这个项目侧重于两个相互关联的研究方向，从根本上与研究者的研究主题的跨学科性质相一致：（1）非弹道、低能量的人体运动的合成，以及（2）多个角色之间的交互的合成。与弹道运动和高动态运动不同，非弹道运动不严格由物理学决定，因此需要更复杂的模型来解决无意识自主控制（如生理和情感）和有意识自主控制（如角色的意图）之间的复杂相互作用。当多角色互动开始发挥作用时，自主控制变得更加重要。交互的合成是具有挑战性的，因为当交互发生时，高级人工智能算法和低级运动以不可预测的方式相互干扰。在计算机动画的范围之外，这种计算模型可以提供一种识别情感、诊断肌肉骨骼异常或验证生物力学假设的设备。