MoCap-Based Adaptive Human-Like Walking Simulation in Laser-Scanned Large-Scale as-Built Environments
MoCap-Based Adaptive Human-Like Walking Simulation in Laser-Scanned Large-Scale as-Built Environments
复制标题
激光扫描大型竣工环境中基于 MoCap 的自适应类人行走模拟
DOI：
10.1007/978-3-319-21070-4_20
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Hiroaki Date
中科院分区：
文献类型：
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作者：
Tsubasa Maruyama;Satoshi Kanai;Hiroaki Date
无障碍环境评估对提高老年人和残疾人的无障碍环境和安全性越来越重要。对无障碍的评估不仅要从一般标准方面，而且要从对不同年龄、性别和能力的用户的身体和认知友好程度方面进行。人的行为模拟在人群行为分析和应急疏散规划方面取得了很大的进展。本研究的目的是开发一个虚拟的可达性评估相结合的现实人类行为模拟使用数字人体模型（DHM）与建成的环境模型。为了实现这一目标，我们开发了一种新的算法，用于生成类似人类的DHM步行运动，使用运动捕获（MoCap）数据的平地行走，使其步幅和转弯角度适应激光扫描的建成环境。我们的实现快速构建了三维环境模型，并产生了足够的实时应用程序的步行模拟速度。DHM和MoCap数据之间的关节角度差异足够小。我们的环境建模和步行模拟在室内环境中的演示说明。
Accessibility evaluation to enhance accessibility and safety for the elderly and disabled is increasing in importance. Accessibility must be assessed not only from the general standard aspect but also in terms of physical and cognitive friendliness for users of different ages, genders, and abilities. Human behavior simulation has been progressing in crowd behavior analysis and emergency evacuation planning. This research aims to develop a virtual accessibility evaluation by combining realistic human behavior simulation using a digital human model (DHM) with as-built environmental models. To achieve this goal, we developed a new algorithm for generating human-like DHM walking motions, adapting its strides and turning angles to laser-scanned as-built environments using motion-capture (MoCap) data of flat walking. Our implementation quickly constructed as-built three-dimensional environmental models and produced a walking simulation speed sufficient for real-time applications. The difference in joint angles between the DHM and MoCap data was sufficiently small. Demonstrations of our environmental modeling and walking simulation in an indoor environment are illustrated.