本文選題：手機運動軟件　切入點：走跑　出處：《四川師范大學(xué)》2017年碩士論文

【摘要】：目的:比較智能手機中應(yīng)用GPS類運動軟件與應(yīng)用加速度計類軟件測量走、跑運動時能量消耗的準(zhǔn)確性,從而為運動愛好者在選擇使用GPS類手機運動軟件時提供參考依據(jù)并完善智能手機中加速度計的實際應(yīng)用。方法:受試者為四川師范大學(xué)體育學(xué)院45名學(xué)生。受試者佩戴4部手機分別以4km/h、6km/h、8km/h、10km/h的速度圍繞400米操場進(jìn)行5分鐘的走/跑運動,其中一部iPhone5C手機安裝三款GPS類手機運動軟件(動動、樂動力、咕咚)并置于受試者右側(cè)褲兜內(nèi)。三部紅米手機安裝加速度計類手機軟件(Physical Toolbox)并分別置于受試者右側(cè)上臂、右側(cè)荷包及右側(cè)腰部處。同時用間接測熱法K4b2(作為K4b2)測量受試者運動時的能耗。結(jié)果:1、配對T檢驗分析結(jié)果顯示,兩種測量方法半數(shù)(16/24)以上的數(shù)據(jù)與K4b2差異具有顯著性;2、各手機運動軟件測得總能耗值與K4b2總能耗值呈高度相關(guān)(0.779≤R≤0.929);3、Bland-Altman一致性分析顯示:60個數(shù)據(jù)點中位于一致性界限以外的點數(shù)均沒有超出3個,在5%以內(nèi);K4b2與動動、樂動力、咕咚及位于上臂、荷包、腰部處紅米手機差值的均數(shù)依次為-2.7、1.7、-4.4、-1.9、-0.3、-2.2;在10km/h速度階段,手臂處紅米手機15個數(shù)據(jù)點中有14個在差值均數(shù)線以上,而動動15個數(shù)據(jù)點均在差值均數(shù)線以下;4、4km/h速度運動5分鐘,各設(shè)備測量值與K4b2最大差值(絕對值)達(dá)9.66Kcal,各設(shè)備與K4b2的測量均值均小于30Kcal。結(jié)論:利用智能手機中加速度計測量走、跑運動時的能耗是可行的;兩種測量方法測得能耗值均取得與K4b2值較好的一致性,加速度計類手機軟件要略好于GPS類手機運動軟件;三款GPS類手機運動軟件中,效度最好的是樂動力;手機加速度計測量走跑運動能耗時,與腰部及荷包兩個位置相比,位于手臂處的測量數(shù)據(jù)穩(wěn)定性較差且佩戴于荷包處測量最準(zhǔn)確;考慮到運動中能量消耗特征,用手機運動軟件測量短時短距離周期性運動能耗是不太科學(xué)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，

本文編號：1665407