运动员体能训练动作量化修正系统设计
Design of quantitative correction system for athletes'physical training
赵冬 1杨改红 1喻龙 1周帅 1薛俊杰1
作者信息
- 1. 西安交通大学城市学院,西安 710000
- 折叠
摘要
跑步比赛中0.01s就能决定比赛的成败,为了确保教练和运动员能够获得更多的体能训练动作量化指标,设计运动员体能训练动作量化修正系统.基于Unity3D引擎设计控制模块、训练动作采集模块、训练动作模拟处理模块,利用灰色预测模型在提取体能训练动作特征的基础上识别训练动作,计算模拟动作系数,实现运动员体能训练动作量化修正.实验结果表明,该设计系统对跑步训练动作腿关节、踝关节角动作速率的识别准确性较高,体能训练动作数据管理效率较高,满足了节约运动员体能实际训练时间的需求.
Abstract
0.01s can be the decisive factor in the running competition.Therefore,in order to ensure that coaches and athletes can obtain more quantitative indicators of physical training,a quantitative correction system for athletes'physical training is designed.The control module,training action acquisition module and training action simulation processing module are designed based on Unity3D engine.The grey predic-tion model is used to identify the training action on the basis of extracting the characteristics of physical training action,and calculate the simulation action coefficient to realize the quantitative correction of ath-letes'physical training action.The experiment results show that the designed system has high accuracy in i-dentifying the leg joint and ankle joint angle movement rate of running training,and shows high efficiency in managing the physical training movement data,which meets the needs of saving the actual physical training time of athletes.
关键词
Kinect动作记录设备/模拟系数修正/Unity3D引擎框架/体能训练/主控制器Key words
Kinect motion recording device/simulation coefficient correction/Unity3D engine framework/physical training/main controller引用本文复制引用
基金项目
陕西省体育局常规课题(2021)(2021383)
陕西省自然科学基金(2021JQ-539)
出版年
2024
NETL
NSTL
万方数据