智能手机中两类方法测量走、跑运动能耗准确性的对比研究

发布时间：2018-03-25 23:49

  本文选题：手机运动软件　切入点：走跑　出处：《四川师范大学》2017年硕士论文

【摘要】：目的:比较智能手机中应用GPS类运动软件与应用加速度计类软件测量走、跑运动时能量消耗的准确性,从而为运动爱好者在选择使用GPS类手机运动软件时提供参考依据并完善智能手机中加速度计的实际应用。方法:受试者为四川师范大学体育学院45名学生。受试者佩戴4部手机分别以4km/h、6km/h、8km/h、10km/h的速度围绕400米操场进行5分钟的走/跑运动,其中一部iPhone5C手机安装三款GPS类手机运动软件(动动、乐动力、咕咚)并置于受试者右侧裤兜内。三部红米手机安装加速度计类手机软件(Physical Toolbox)并分别置于受试者右侧上臂、右侧荷包及右侧腰部处。同时用间接测热法K4b2(作为K4b2)测量受试者运动时的能耗。结果:1、配对T检验分析结果显示,两种测量方法半数(16/24)以上的数据与K4b2差异具有显著性;2、各手机运动软件测得总能耗值与K4b2总能耗值呈高度相关(0.779≤R≤0.929);3、Bland-Altman一致性分析显示:60个数据点中位于一致性界限以外的点数均没有超出3个,在5%以内;K4b2与动动、乐动力、咕咚及位于上臂、荷包、腰部处红米手机差值的均数依次为-2.7、1.7、-4.4、-1.9、-0.3、-2.2;在10km/h速度阶段,手臂处红米手机15个数据点中有14个在差值均数线以上,而动动15个数据点均在差值均数线以下;4、4km/h速度运动5分钟,各设备测量值与K4b2最大差值(绝对值)达9.66Kcal,各设备与K4b2的测量均值均小于30Kcal。结论:利用智能手机中加速度计测量走、跑运动时的能耗是可行的;两种测量方法测得能耗值均取得与K4b2值较好的一致性,加速度计类手机软件要略好于GPS类手机运动软件;三款GPS类手机运动软件中,效度最好的是乐动力;手机加速度计测量走跑运动能耗时,与腰部及荷包两个位置相比,位于手臂处的测量数据稳定性较差且佩戴于荷包处测量最准确;考虑到运动中能量消耗特征,用手机运动软件测量短时短距离周期性运动能耗是不太科学的。
[Abstract]:Objective: to compare the accuracy of using GPS motion software and accelerometer software to measure the energy consumption of walking and running in smart phone. The results provide reference for sports enthusiasts in choosing to use GPS mobile phone sports software and perfect the practical application of accelerometers in smart phones. Methods: the subjects were 45 students from the School of physical Education of Sichuan normal University. The person wearing four cell phones went for five minutes of walking / running around the 400-meter playground at the speed of 4km / hm-1 / hm-1 / h / 8km / h / h / 10km / h, respectively. One of the iPhone5C phones was equipped with three GPS mobile phone motion software (dynamic, music, goo dong) and placed in the subjects' right pocket. The three red rice phones were installed with the accelerometer software physical Toolbox and placed on the subjects' right upper arm, respectively. The energy consumption of subjects during exercise was measured by indirect calorimetry K4b2 (as K4b2). The data over half of 16 / 24) of the two methods have significant difference with K4b2. There is a high correlation between the total energy consumption measured by mobile phone motion software and the total energy consumption of K4b2 (0.779 鈮，

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