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The Control Method of Tying Shoelaces for Robotic Hand Based on Angular Velocity Sensor

机译:基于角速度传感器的机器人手绑鞋带控制方法

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Using the human body’s signals to control assistive robot has become a focus, but factors such as the way of acquiring signals and the ability to decode signals affect the accuracy of controlling robotic hand. As a wearable device, the angular velocity sensor can directly obtain the movement information of the upper limbs. This paper proposes a new control method for robotic hand based on angular velocity sensors, and this control method is applied to the operation of tying shoelaces with the robotic hand. The angular velocity sensor is used to collect the angular velocity of the human upper limb movement, and the characteristics of fingers during grabbing are analyzed by extracting the characteristic parameters of the mean, the maximum value and the difference value. The experimental results show that the accuracy of controlling robotic hand reaches 99% and the delay time of opening or closing the fingers is less than 1.5s.
机译:利用人体的信号来控制辅助机器人已成为人们关注的焦点,但是诸如信号获取方式和信号解码能力之类的因素会影响控制机器人手的准确性。作为可穿戴设备,角速度传感器可以直接获取上肢的运动信息。提出了一种基于角速度传感器的机器人手控制新方法,并将该控制方法应用于机器人手绑鞋带的操作中。角速度传感器用于收集人类上肢运动的角速度,并且通过提取平均值,最大值和差值的特征参数来分析抓握过程中手指的特征。实验结果表明,机械手的控制精度达到99%,手指张开或闭合的延迟时间小于1.5s。

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