利用智能科技优化羽毛球运动员训练和比赛表现  

Optimize badminton players'training and competition performance with smart technology

作　　者：陈磊 梁桂才[1] 王淇漾 CHEN Lei;LIANG Guicai;WANG Qiyang(Guangxi Technological College of Machinery and Electricity,Nanning 530007,China)

机构地区：[1]广西机电职业技术学院,南宁530007

出　　处：《计算机应用文摘》2024年第11期90-92,96,共4页Chinese Journal of Computer Application

基　　金：广西教育厅重点课题-2023年广西教育科学规划研究课题:高职院校面向东盟的教育数字化转型研究(2023ZJY2034)。

摘　　要：通过收集运动员的生理指标数据并结合比赛得分,文章构建了一个多元线性回归模型,发现最大心率和最高速度与比赛得分呈正相关,而平均心率和平均加速度与比赛得分呈负相关。这些结果表明,心肺耐力和速度爆发力是影响羽毛球比赛表现的关键因素,同时比赛中的能量管理不容忽视。文章不仅为羽毛球运动员的训练和比赛策略提供了科学依据,还为智能科技在体育训练中的应用提供了新的视角。By collecting physiological indicators data of athletes and combining them with competition scores,the article constructed a multiple linear regression model and found that maximum heart rate and maximum speed were positively correlated with competition scores,while average heart rate and average acceleration were negatively correlated with competition scores.These results indicate that cardiovascular endurance and explosive speed are key factors affecting badminton performance,and energy management in the game cannot be ignored.The article not only provides scientific basis for the training and competition strategies of badminton players,but also provides a new perspective for the application of intelligent technology in sports training.

关 键 词：智能科技 羽毛球 训练优化 多元线性回归 比赛表现 

分 类 号：G804[文化科学—运动人体科学]