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Thumb joint angle estimation for soft wearable hand robotic devices

机译:柔软耐磨手动机器人设备的拇指关节角度估计

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There is a recent increase in development of compact soft wearable robotic devices that are used for rehabilitation and assistance of the hand. In order to rehabilitate or assist natural grasp tasks, the device requires monitoring of hand posture including finger and thumb joint angles. For estimating the finger and thumb joint angles without making the device bulky, bending sensors enable compact design of glove-type hand robotic devices; however, the estimation of the accurate thumb joint angles is challenging due to the highly coupled multi-degree of freedom movement. A bending sensor attached on any hand location tends to be deformed by movement of thumb in all DOFs, i.e., there is significant amount of coupling effect. It is important to find sensor locations that have minimal coupling effect to make the thumb joint angle measurement more accurate. In this paper, we present an experimental study on the optimal sensor location that causes minimal coupling effect on the thumb joint angle measurement.
机译:最近有一个增加的紧凑型软可穿戴机器人设备的开发,用于康复和手的康复。为了恢复或协助自然掌握任务,该装置需要监控包括手指和拇指关节角的手部姿势。为了估计手指和拇指关节角度而不使设备笨重,弯曲传感​​器能够紧凑地设计手套式手机机器人设备;然而,由于高耦合的多程度自由运动,准确的拇指关节角度的估计是具有挑战性的。附接在任何手上的弯曲传感器倾向于通过拇指在所有DOF中的运动而变形,即,存在显着的耦合效果。找到具有最小耦合效果的传感器位置是重要的,以使拇指接口角度测量更准确。在本文中,我们在最佳传感器位置展示了对拇指关节角度测量最小耦合效应的最佳传感器位置的实验研究。

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