【摘要】：人體運(yùn)動(dòng)姿態(tài)檢測(cè)技術(shù)是獲取人體運(yùn)動(dòng)信息的重要手段,在體育訓(xùn)練、步態(tài)識(shí)別、動(dòng)作識(shí)別、醫(yī)療康復(fù)、運(yùn)動(dòng)和健康管理以及生物認(rèn)證等領(lǐng)域都有著廣泛的應(yīng)用。目前基于MEMS傳感器的姿態(tài)檢測(cè)方法大多都是利用加速度傳感器來采集人體姿態(tài)信息的,優(yōu)點(diǎn)是體積小、功耗低,但是單獨(dú)的加速度傳感器不能快速響應(yīng)人體運(yùn)動(dòng)姿態(tài)變化,故測(cè)量準(zhǔn)確度不高。本文在分析人體甩臂步行、俯臥撐和仰臥起坐運(yùn)動(dòng)姿態(tài)特點(diǎn)的基礎(chǔ)上,確定了運(yùn)動(dòng)姿態(tài)的特征參數(shù),設(shè)計(jì)并實(shí)現(xiàn)了運(yùn)動(dòng)姿態(tài)的檢測(cè)算法。論文研究?jī)?nèi)容主要體現(xiàn)在以下三個(gè)方面：一、設(shè)計(jì)了一個(gè)穿戴式運(yùn)動(dòng)姿態(tài)參數(shù)采集模塊,該模塊采用MPU9250九軸運(yùn)動(dòng)傳感器采集人體運(yùn)動(dòng)姿態(tài)信息,并利用BLE4.0藍(lán)牙無線通信功能將特征參數(shù)發(fā)送至上位機(jī)；二、采用matlab自主設(shè)計(jì)了一款基于GUI圖像界面的仿真軟件,并利用該軟件對(duì)本文研究的運(yùn)動(dòng)姿態(tài)檢測(cè)算法進(jìn)行了仿真驗(yàn)證；三、采用Eclipse自主設(shè)計(jì)了基于安卓平臺(tái)的APP軟件,實(shí)現(xiàn)了參數(shù)采集模塊測(cè)試、運(yùn)動(dòng)姿態(tài)檢測(cè)以及心率測(cè)量功能。大量的測(cè)試統(tǒng)計(jì)結(jié)果表明,本文研究的姿態(tài)檢測(cè)方法具有較高的穩(wěn)定性和準(zhǔn)確度：計(jì)步準(zhǔn)確率大于87.7%；俯臥撐運(yùn)動(dòng)和仰臥起坐運(yùn)動(dòng)計(jì)數(shù)準(zhǔn)確率大于86.3%；心率測(cè)量準(zhǔn)確率高于90%。
[Abstract]:Human motion attitude detection technology is an important means to obtain human motion information. It is widely used in sports training, gait recognition, movement recognition, medical rehabilitation, sports and health management and biological certification. At present, most of the attitude detection methods based on MEMS sensor use acceleration sensor to collect human body attitude information, which has the advantages of small size and low power consumption, but the single acceleration sensor can not quickly respond to the change of human motion attitude. Therefore, the accuracy of measurement is not high. On the basis of analyzing the characteristics of human swinging arm walking, push-ups and sit-ups, the characteristic parameters of motion attitude are determined, and the algorithm of motion attitude detection is designed and implemented. The main contents of this paper are as follows: first, a wearable motion attitude parameter acquisition module is designed, which uses MPU9250 nine-axis motion sensor to collect human motion attitude information. The BLE4.0 Bluetooth wireless communication function is used to send the feature parameters to the upper computer. Secondly, a simulation software based on GUI image interface is designed by using matlab, and the motion attitude detection algorithm is simulated and verified by the software. Thirdly, the APP software based on Android platform is designed by Eclipse, which realizes the function of parameter acquisition module test, motion posture detection and heart rate measurement. A large number of test results show that the attitude detection method studied in this paper has high stability and accuracy: the accuracy of step counting is greater than 87.7, the accuracy of counting push-ups and sit-ups is more than 86.3, and the accuracy of heart rate measurement is more than 90.
【學(xué)位授予單位】：華中師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP391.41;TP212.9

【相似文獻(xiàn)】

相關(guān)期刊論文 前2條

1 楊繼鋒;劉勇志;黃路煒;李科;;潛射導(dǎo)彈出筒過程運(yùn)動(dòng)姿態(tài)分析與建模仿真[J];計(jì)算機(jī)仿真;2014年06期

2 ;[J];;年期

相關(guān)會(huì)議論文 前1條

1 秦興春;茅坪;盧惠民;;某型艦船主要運(yùn)動(dòng)姿態(tài)的模擬仿真[A];1998年上海市系統(tǒng)仿真學(xué)會(huì)學(xué)術(shù)年會(huì)論文專輯[C];1998年

相關(guān)碩士學(xué)位論文 前3條

1 陳亞芹;穿戴式運(yùn)動(dòng)姿態(tài)檢測(cè)方法研究與實(shí)現(xiàn)[D];華中師范大學(xué);2016年

2 李明;大型船舶直航運(yùn)動(dòng)視景仿真及姿態(tài)預(yù)報(bào)研究[D];哈爾濱工程大學(xué);2012年

3 馮文武;運(yùn)動(dòng)姿態(tài)檢測(cè)系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)[D];重慶大學(xué);2008年

，

本文編號(hào)：2227149