基于OpenCV的图像处理数字角计

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) Pub Date : 2020-12-03 DOI:10.1109/HNICEM51456.2020.9400106

Dhoby Schon Fitz Bumacod, Jemuel Vince Delfin, N. Linsangan, Randy E. Angelia

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引用次数: 9

摘要

测角仪测量物体的运动范围。在医学上，这个仪器是用来评估身体关节的工具，使医生能够评估病人的状况，然后进行治疗调整。为了改进记录诊断历史和测量过程本身，本研究旨在创建一个数字测角仪，可以通过图片即时测量肘关节和膝关节的角度。该设备是通过使用树莓派(Raspberry Pi)来实现的，树莓派是一种能够通过集成硬件和软件组件来支持功能应用程序的微型计算机。统计分析显示肘关节和膝关节的准确率分别为98.25%和98.09%，这是由于实际测角仪与本研究创建的设备之间的值密切相关。

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Image-Processing-based Digital Goniometer using OpenCV

A goniometer measures the available range of motion of an object. In medicine, this instrument is used assessment tool for joints in the body that allows physicians to evaluate a patient's condition, which then enables therapeutic adjustments. In order to improve recording diagnosis history, and the measurement process itself, this study aimed to create a digital goniometer that allows instantaneous measurement of the elbow and knee joint angles, through pictures. The device was made possible through the use of Raspberry Pi, a microcomputer capable of supporting functional applications through integration of hardware and software components. Statistical analysis shows a 98.25% and 98.09% accuracy for the elbow and knee joints respectively, resulting from closely related values between the actual goniometer, and the device created from this study.

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来源期刊

2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

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