Development of a Low Cost Motion Capture System to Analyze Wrist-Hand Complex

R. R. Coelho, Daniel Ramos Coelho, Marina de Oliveira Costa Figueiredo, G. Cunha
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引用次数: 1

Abstract

The aim of this article is to describe the development of a low cost motion capture system to analyze the movement of the wrist-hand complex (WHC). First, we searched the relevant literature about resources that could be used to develop a system for capturing motion. Through this search, we opted for the use of a system integrating an electronic platform and sensors (flexsensor and stretchsensor) that are able to capture the movements of WHC. A program written in the Processing 1.2.1 language was developed to allow the interpretation of the information obtained by the sensors and the electronic platform by the computer. Then, we defined the type, size and position of each sensor to capture the movement of each single joint of the WHC and the forearm movements of prone/supine. The prototype system proved to be a viable tool to test movements of the WHC. The results indicated that the proposed system could be useful to analyze movements of the WHC. On the other hand, the necessity of a wire connection from the sensors to the electronic platform and from the platform to a computer, the small numbers of analogical input of the developed electronic platform, the mechanical fragility of the sensors, and difficulty to evaluate the complex movement of opposition of the fingers can be limitations to this system. Another limitation of the system is its calibration. To overcome this problem, we intent to use measures of angles instead of the electrical resistance of the sensors.
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一种低成本腕-手复合分析运动捕捉系统的开发
本文的目的是描述一个低成本的运动捕捉系统的发展,以分析手腕-手复合体(WHC)的运动。首先,我们搜索了有关资源的相关文献,这些资源可用于开发捕获运动的系统。通过这项研究,我们选择使用一个集成了电子平台和传感器(flexsensor和stretchsensor)的系统来捕捉WHC的运动。开发了用Processing 1.2.1语言编写的程序,使计算机能够对传感器和电子平台获得的信息进行解释。然后,我们定义了每个传感器的类型、大小和位置,以捕获WHC每个单个关节的运动和前臂俯卧/仰卧的运动。该原型系统被证明是一个可行的工具,以测试WHC的运动。结果表明,该系统可用于分析WHC的运动。另一方面,从传感器到电子平台以及从平台到计算机的电线连接的必要性,开发的电子平台的少量模拟输入,传感器的机械脆弱性以及难以评估手指对立的复杂运动可能是该系统的限制。该系统的另一个限制是它的校准。为了克服这个问题,我们打算使用角度的测量,而不是传感器的电阻。
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