Human motion tracking system based on skeleton and surface integration model using pressure sensors distribution bed
Human motion tracking system based on skeleton and surface integration model using pressure sensors distribution bed
复制标题
基于骨架与表面集成模型的利用压力传感器分布床的人体运动跟踪系统
DOI：
10.1109/humo.2000.897378
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
Taketoshi Mori
中科院分区：
文献类型：
--
作者：
T. Harada;Tomomasa Sato;Taketoshi Mori
提出了一种基于全身模型和压力传感器分布床的人体运动跟踪系统。全身模型由骨架和表面模型组成。BVH文件用作描述关节和链接层次结构的骨架模型。波前对象文件用作描述表面几何形状的表面模型。这张床的床垫下有210个压力传感器。它可以测量说谎人的压力分布图像。通过考虑势能、动量以及测量得到的压力分布图像与全身模型计算得到的压力分布图像的差值来跟踪躺着的人的运动。实验结果表明，所实现的系统不仅可以跟踪水平运动，如开合腿，还可以跟踪垂直运动，如上半身抬起。
Proposes a human motion tracking system based on a full-body model and a pressure-sensor distribution bed. The full-body model consists of a skeleton and a surface model. BVH files are used as the skeleton model that describes a hierarchy of joints and links. Wavefront object files are used as the surface model that describes the geometry of the surface. The bed has 210 pressure sensors that are under the mattress. It can measure the pressure distribution image of a lying person. The lying person's motion is tracked by considering potential energy, momentum and the difference between the measured pressure distribution image and the pressure distribution image that is calculated by the full-body model. Experimental results reveal that the realized system can track not only horizontal motions such as opening and closing legs but also vertical motions such as raising the upper body.