首页|基于Kinect深度图像的人体重心估算方法研究

基于Kinect深度图像的人体重心估算方法研究

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为了改善现有测量人体重心的设备价格昂贵和不便携带等问题,提出了一种用Kinect深度相机快速估算人体重心的方法.该方法利用分段法与松井秀治模型,结合Kinect获取的骨骼信息,将人体划分为15节段,根据节段质量、近远端坐标和重心半径系数计算出各个节段的重心,然后结合力矩合成法估算出人体总重心.最后,通过机器学习算法模型对重心数据进行了修正.Kinect与三维测力台的对比实验结果表明,该方法在测量大幅度动作的人体重心中有着更好的准确性,Kinect较传统设备价格低廉,易于推广使用,可作为一种站立平衡评估工具.
Research on gravity center estimation method of human body based on Kinect depth image
In order to improve the problem that the existing equipment for measuring the center of gravity of human body is expensive and inconvenient to carry,a method to rapidly estimate center of gravity of human body using Kinect depth camera is proposed. This method uses the segmented method and Matsui Xiuzhi model,and the skeletal information obtained by Kinect is combined to divide the human body into 15 segments. The center of gravity of each segment is calculated according to the segment mass,proximal and distal coordinates and the radius coefficient of the center of gravity,and then the total center of gravity of the human body is estimated by combining moment synthesis method. Finally,the data of the center of gravity is modified by the model of machine learning algorithm. The comparative experimental results between Kinect and three-dimensional force measuring plate show that this method has better accuracy in measuring the center of gravity of human body with large movements, Kinect is cheaper than traditional equipment,easy to be popularized and used,which can be used as a standing balance assessment tool.

center of gravity of human bodyKinect softwaredepth image

康荣春、范丽婷、张阳

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沈阳建筑大学机械工程学院,辽宁 沈阳 110000

深圳技术大学中德智能制造学院,广东 深圳 518000

人体重心 Kinect软件 深度图像

教育部产学合作协同育人项目

201902261019

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(7)
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