Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment
Real-Time Optimal Reach-Posture Prediction in a New Interactive Virtual Environment作者机构：US Army Virtual Soldier Research (VSR) Program Center for Computer-Aided Design The University of Iowa 111 Engineering Research Facility Iowa City IA 52242-1000 U.S.A.
出 版 物：《Journal of Computer Science & Technology》 (计算机科学技术学报（英文版）)
年 卷 期：2006年第21卷第2期
页 面：189-198页
核心收录：
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
基 金：Funded by the US Army TACOM Project: Digital Humans and Virtual Reality for Future Combat Systems (FCS) by Caterpillar Inc. Project: Digital Human Modeling and Simulation for Safety and Serviceability
主 题：reach posture prediction MOO human modeling and simulation virtual environment
摘 要：Human posture prediction is a key factor for the design and evaluation of workspaces, in a virtual environment using virtual humans. This work presents a new interface and virtual environment for the direct human optimized posture prediction （D-HOPP） approach to predicting realistic reach postures of digital humans, where reach postures entail the use of the torso, arms, and neck. D-HOPP is based on the contention where depending on what type of task is being completed, and human posture is governed by different human performance measures. A human performance measure is a physics-based metric, such as energy or discomfort, and serves as an objective function in an optimization formulation. The problem is formulated as a single-objective optimization （SO0） problem with a single performance measure and as multiobjective-optimization （MOO） problem with multiple combined performance measures. We use joint displacement, change in potential energy, and musculoskeletal discomfort as performance measures. D-HOPP is equipped with an extensive yet intuitive user-interface, and the results are presented in an interactive virtual environment.
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