摘要
为了提高运动员上肢力量参数的在线准确评估能力,提出基于图像分析技术的运动员上肢力量参数分析方法。对采集的运动员动态图像进行上肢肌肉特征的边缘轮廓检测,对上肢肌肉的边缘特征输出结果进行Harris角点检测,结合肌肉力学参量信息进行上肢力量评估,实现基于图像分析的运动员上肢力量估计。仿真结果表明,采用该方法进行运动员上肢力量参数估计简单可靠,估计精度比传统的传感器测量技术要高。
In order to improve the online accurate evaluation capacity of the athletic upper limb strength parameter,an athletic upper limb strength parameter analysis method based on image analysis technology is proposed.The edge contour detection of the upper limb muscle feature was performed for the acquired athlete dynamic image.The Harris corner detection is conducted for the edge feature output result of the upper limb muscle.The upper strength is evaluated in combination with the muscle mechanics parameter information to realize the athlete upper limb strength estimation based on image analysis.The simulation results show that the method is simple and reliable for estimation of the athletic upper limb strength parameter,and its estimation accuracy is higher than that of the traditional sensor measuring technology.
作者
常超
CHANG Chao(Xuchang University,Xuchang 461000,China)
出处
《现代电子技术》
北大核心
2017年第9期36-38,42,共4页
Modern Electronics Technique
基金
河南省教育厅人文社会科学研究项目(2017-ZDJH-207)
关键词
图像分析
边缘轮廓检测
上肢力量
参数分析
image analysis
edge contour detection
upper limb strength
parameter analysis
