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Markerless Measurement System of Body Surface Deformation for Structure Determination of Wearable Robot

机译:穿戴式机器人结构确定的无标记体表测量系统

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The authors aim to realize a wearable robot that supports the motion of entire torso. The first task to realize the robot is to determine its structure suitable for motion support. Focusing on the body surface where the robot makes direct contact, we examine the robot structure that can follow the deformation of the body surface. In order to clarify the robot structure, it is necessary to measure the deformation of the body surface. However, with the existing measurement method of body surface deformation using markers, the robot structure can not be clarified. Hence, we have studied a new system to measure the deformation of the body surface without using any markers. In this system, the body surface shape is obtained as time-series point cloud data. After that, the body surface (point cloud data) is divided into multiple local areas, and the time-series correspondence of each local area is clarified. Finally, the deformation is measured by tracking each local area. In this paper, the details of the system are described, and the measurement accuracy of the system is discussed. Furthermore, we quantitatively clarify how the body surface of the torso deforms at the time of forward bending by using the system.
机译:作者旨在实现一种可支撑整个躯干运动的可穿戴机器人。实现机器人的首要任务是确定适合运动支持的结构。着眼于机器人直接接触的身体表面,我们研究了可以跟随身体表面变形的机器人结构。为了阐明机器人的结构,有必要测量身体表面的变形。但是,在现有的利用标记物的体表变形的测定方法中,无法明确机器人的结构。因此,我们研究了一种无需使用任何标记物即可测量身体表面变形的新系统。在该系统中,获得身体表面形状作为时间序列点云数据。之后,将身体表面(点云数据)划分为多个局部区域,并阐明每个局部区域的时间序列对应关系。最后,通过跟踪每个局部区域来测量变形。本文描述了该系统的细节,并讨论了该系统的测量精度。此外,通过使用该系统,我们定量地阐明了在向前弯曲时躯干的身体表面如何变形。

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