基于大数据分析技术的运动员平衡能力评估

Evaluation of athlete’s balance ability based on big data analysis technology

针对目前方法对运动员进行平衡能力评估时,存在评估效果差、运动员调节时间较长以及评估时无法采集人体部位数据加速度信号的问题,提出基于大数据分析技术的运动员平衡能力评估方法。利用高清摄影机拍摄运动员的平衡训练过程,基于大数据分析技术选取视频的关键帧;再预处理选出的关键帧图像,获取人体重心特征;最后以人体重心特征为基础,构建平衡能力评估模型,实现对运动员平衡能力评估。实验结果表明,该方法进行平衡能力评估时效果较好,运动员调节时间较短,能够有效采集人体部位数据加速度信号。

In order to solve the problems of poor evaluation effect,long adjustment time and inability to collect human body data acceleration signal when evaluating athletes’balance ability,an athlete balance ability evaluation method based on big data analysis technology is proposed.The balance training process of athletes is photographed by HD camera,and the key frames of video are selected based on big data analysis technology.Then,the selected key frame image are processed to obtain the characteristics of human gravity center.Finally,based on the characteristics of human gravity center,this paper constructs a balance ability evaluation model to evaluate the balance ability of athletes.The experiment results show that this method is effective in the evaluation of balance ability,the adjustment time of athletes is short,and the acceleration signal of human body part data can be effectively collected during the evaluation.