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首页> 外文期刊>International Journal of Electrical and Computer Engineering >Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method
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Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method

机译：基于无标记Kinect方法的肘关节屈伸康复训练系统

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摘要

This paper presents the elbow flexion and extension rehabilitation exercise system using marker-less Kinect-based method. The proposed exercise system is developed for the upper limb rehabilitation application that utilizes a low cost depth sensor. In this study, the Kinect skeleton tracking method is used to detect and track the joints of upper limb and then measure the angle of the elbow joint. The users perform the exercise in front of the Kinect sensor and the computer monitor. At the same time, they can see the results that displayed on the screen in real-time. The measurement of elbow joint angles are recorded automatically and has been compared to the reference values for the analysis and validation. These reference values are obtained from the normal range of motion (ROM) of the elbow. The results show the average flexion angle of the elbow joint that achieved by the normal user is 139.1° for the right hand and 139.2° for the left hand. Meanwhile, the average extension angle is 1.72° for the right hand and 2.0° for the left. These measurements are almost similar to the standard range of motion (ROM) reference values. The skeleton tracking works well and able to follow the movement of the upper arm and forearm in real-time.
机译：本文介绍了一种基于无标记Kinect的方法的肘关节屈伸康复锻炼系统。拟议的运动系统是为利用低成本深度传感器的上肢康复应用开发的。在这项研究中，Kinect骨骼跟踪方法用于检测和跟踪上肢的关节，然后测量肘关节的角度。用户在Kinect传感器和计算机显示器前进行锻炼。同时，他们可以实时查看屏幕上显示的结果。肘关节角度的测量会自动记录，并已与参考值进行比较以进行分析和验证。这些参考值是从肘关节的正常运动范围（ROM）获得的。结果显示，正常使用者的肘关节平均屈曲角度，右手为139.1°，左手为139.2°。同时，右手的平均伸展角为1.72°，左手的平均伸展角为2.0°。这些测量值几乎与标准运动范围（ROM）参考值相似。骨骼跟踪效果很好，并且能够实时跟踪上臂和前臂的运动。

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