摘要
本文设计一个基于穿戴设备的人体运动数据采集系统,该系统结合了运动人体科学、生物力学及人因工程学等多学科交叉知识。系统通过可穿戴采集设备Neuron与视觉识别设备Kienct完成对人体骨骼数据的获取,通过Visual Studio开发平台搭建系统框架,利用C#完成系统界面的设计,通过编写程序完成Neuron和Kinect对人体运动数据的采集以及实时数据的展示。本系统可以存储数据形成项目文件,并对采集的数据进行分析与研究,通过分析验证能够获得两个采集设备采集的数据变化,为工程控制等方面提供数据服务。
This paper designs a human motion data acquisition system based on wearable devices,which combines the multidisciplinary knowledge of human motion science,biomechanics and human factors engineering.The system achieves the acquisition of human bone data by using wearable acquisition device Neuron and Visual recognition device Kienct.The system framework is built by Visual Studio development platform,and the interface of the system is designed by C#.By programming Neuron and Kinect to collect human movement data and display real-time data.The system can store data to form project files,then analyze and study the collected data.Through analysis and verification,the data changes collected by two acquisition devices can be obtained,providing data services for engineering control and other aspects.
作者
孙军
周志楠
SUN Jun;ZHOU Zhi-Nan(School of Mechanical Engineering,Shenyang Jianzhu University,Shenyang Liaoning110168,China)
出处
《机电产品开发与创新》
2022年第1期38-41,共4页
Development & Innovation of Machinery & Electrical Products
