基于运动学的仿人机械臂上肢运动跟踪

M. Z. Al-Faiz, A. Shanta
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引用次数: 17

摘要

提出了一种利用Kinect上肢跟踪技术实时跟踪人体骨骼运动的类人机械臂。利用Kinect跟踪算法,通过处理来自Kinect的深度图像,可以估计出身体上肢到手腕在3D空间中的位置。实时提取用户双臂的三维坐标,然后Arduino微控制器在计算机和人形机械臂之间传输数据。该方法提供了一种向类人机器人机械手发送运动任务的方法,而不是像基于手势的方法那样发送末端位置运动,该方法已在人体骨骼手势运动的检测、跟踪和跟踪中进行了测试。设计了仿人机械臂的完整原型,该机械臂具有4自由度,肩部三个关节和一个肘关节到手腕,看起来像人的手臂结构、外观和动作,代表了仿人机械臂执行的人的手臂运动。产生的错误和响应时间结果很小(小于4.6%和105 ms)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kinect-Based Humanoid Robotic Manipulator for Human Upper Limbs Movements Tracking
This paper presents a humanoid robotic arms controlled by tracking the human skeleton movement in real-time using Kinect upper limbbody tracking. Using Kinect tracking algorithm, the positions of upper limb arms of the body to the wrist in 3D space can be estimated by processing depth images from the Kinect. An extraction of 3D co-ordinates of the user’s both arm in real-time then Arduino microcontroller is transferring the data between both of computer and the humanoid robotic arm. This method provides a way to send movement task to the humanoid robotic manipulator instead of sending the end position motion like gesture-based approaches and this method has been tested in detect, tracking and following the movement of human skeleton gesture. Designing complete prototype of a humanoid robotic arms with 4DOF three joints in shoulder and one elbow joint to the wrist that look like the Human arm Structure, Appearance and Action that represent human arm movement performed by the humanoid robotic arm. The error was and response time result generated is small (less than 4.6% and 105 ms).
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