基于智能可穿戴设备的步态与速度的实证研究  

An Empirical Study of Gait and Speed Based on Smart Wearable Devices

作　　者：赵瑞星 李山[2] 黄铎[1] 王麒麟[1] ZHAO Ruixing;LI Shan;HUANG Duo;WANG Qiin(Tianshui Normal University,Tianshui 741000,China;Xi’an University of Physical,Xi’an 710068,China)

机构地区：[1]天水师范学院体育学院,甘肃天水741000 [2]西安体育学院,陕西西安710068

出　　处：《西北民族大学学报（自然科学版）》2024年第2期11-20,共10页Journal of Northwest Minzu University(Natural Science)

摘　　要：目的:建立基于智能可穿戴设备的速度预测模型,为运动员的训练提供参考.方法:使用SPSS对8名天水师范学院体育学院田径专项学生的步态数据进行了Pearson相关性检验和逐步回归分析.结果:坡度与前掌着地比例、平均步幅之间有着显著的正相关关系(P<0.01),与脚跟着地比例之间呈显著的负相关关系(P<0.01),与外翻幅度之间呈显著的负相关关系(P<0.05);速度与活动卡路里、步数、前掌着地比例、平均步频、平均步幅、平均腾空时间、平均触地腾空比、平均着地冲击力之间呈显著的正相关关系(P<0.01);与全掌着地比例、脚跟着地比例、平均触地时间之间呈显著的负相关关系(P<0.01).结论与建议:智能可穿戴设备的跑步豆功能算法整体的平均准确率较高,所采集的数据在训练过程中对运动员具有一定的指导作用.建议CyweeMotion公司利用软件算法和六轴运动传感器实时捕捉的数据增加摆动角度的App端的可读数字,为改善跑者大小腿折叠技术提供一定的参考,提高跑步效率.Objective To establish a rapid prediction model based on intelligent wearable devices to provide reference for selection and trainingof athletes.Method Pearson correlation test and stepwise regression analysis were performed on the gait data of 8 students majoring in track and field in Physical Education College of Tianshui Normal University by SPSS.Results There was a significant positive correlation between the slope and the proportion of forefoot landing and the average stride length(P<0.01).There was a significant negative correlation between the slope and the proportion of heel landing(P<0.01).There was a significant negative correlation between the slope and the valgus amplitude(P<0.05).There was a significant positive correlation between speed and activity calories,steps,forefoot landing ratio,average stride frequency,average stride length,average flight time,average touchdown flight ratio,and average landing impact force(P<0.01).There was a significant negative correlation between and the proportion of full palm landing,the proportion of heel landing,and the average touchdown time(P<0.01).Conclusion The average accuracy of the running bean function algorithm of the intelligent wearable device was high.The collected data was helpful to the guidance of the athletes in the training process,and can provide some reference for the selection of athletes.It was recommended that CyweeMotion use the software algorithm and the data captured by the six-axis motion sensor in real time to increase the readable number of the swing angle on the App side,which provided a certain reference for improving the runner’s thigh and calf folding technology and improves the running efficiency.According to the speed model formula,in order to improve the speed of athletes more scientifically and effectively,more steps,strides,touchdown time and other improvement exercises should be added in the training process.

关 键 词：坡度 速度 智能可穿戴设备 步态指标 

分 类 号：G80-05[文化科学—运动人体科学]