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An underactuated wearable arm-swing rehabilitator for gait training

机译:用于步态培训的欠伸的可穿戴扶手康复器

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This paper presents the design concept and fabricated prototype of a device that swings the arms for use in gait rehabilitation. The device is designed to be used in conjunction with a body-weight-support treadmill. The device is backdrivable, wearable, capable of assisting the user's arm swing in the sagittal plane, and has unhindered kinematics in the remaining unactuated degrees of freedom. Tests are performed to validate the shoulder-angle prediction equations based on the non-collocated motor-angle sensor measurements, to validate the device's ability to provide adequate torque to induce arm-swing in a passive user, and to investigate whether or not the user's active involvement can be determined by examining sensor data. The results show that the device does provide sufficient torque to move the arms with a factor of safety, but that the model-based shoulder-angle estimates obtained from the motor measurements have non-negligible error with the current prototype. It is shown that the controlled device generates low RMS tracking error and is able to diagnose user-assistance level (i.e., if the user is passive or actively assisting arm swing) online by observing shoulder-angle amplitudes and peak motor torques.
机译:本文介绍了一个摇摆着步态康复的武器的装置的设计理念和制造原型。该装置设计用于与身体重量支撑跑步机一起使用。该装置是可以重大的,可穿戴的,能够帮助用户的臂在矢状平面上摆动,并且在其余的自由度中具有不受阻碍的运动学。进行测试以基于非搭配的电动角度传感器测量来验证肩部角度预测方程,以验证设备提供足够扭矩以在被动用户中诱导手臂摆动的能力,并调查用户是否可以通过检查传感器数据来确定主动参与。结果表明,该装置确实提供足够的扭矩以使臂具有安全为一定的安全性,而是从电动机测量获得的基于模型的肩角估计具有与电流原型的不可忽略的误差。结果表明,受控装置产生低RMS跟踪误差,并且能够通过观察肩角幅度和峰电动机扭矩在线诊断用户辅助水平(即,如果用户是被动或主动辅助的臂摆动)。

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