本文選題：健身跑　切入點(diǎn)：智能手機(jī)　出處：《智能系統(tǒng)學(xué)報(bào)》2017年05期 　論文類(lèi)型：期刊論文

【摘要】：針對(duì)Brzostowski方法因采集的速度數(shù)據(jù)精度不高、采用的建模算法搜索能力受限,而導(dǎo)致難以獲取高精度健身跑模型的問(wèn)題,本文提出一種基于智能手機(jī)的健身跑速度數(shù)據(jù)獲取及演化建模方法。首先,提出基于智能手機(jī)多傳感器和中值濾波的健身跑速度采集方法,以濾除由于手機(jī)間歇性的姿態(tài)變化而產(chǎn)生的三軸加速度信號(hào)脈沖噪聲,并結(jié)合方向傳感器對(duì)手機(jī)三軸加速度中包含的重力分量進(jìn)行過(guò)濾;然后,設(shè)計(jì)一種健身跑演化建模算法,以增大搜索空間為獲取更優(yōu)的健身跑模型提供支持。實(shí)驗(yàn)結(jié)果表明,本文提出的方法可以比Brzostowski方法獲取更為精確的速度和健身跑運(yùn)動(dòng)模型。
[Abstract]:According to the Brzostowski method for the accuracy of the data acquisition speed is not high, the modeling algorithm uses search ability is limited, which is difficult to obtain high precision of fitness running model, this paper presents an intelligent mobile phone based on the fitness run speed data acquisition and evolution modeling method. First, put forward the speed acquisition method of intelligent mobile phone running multi sensor and median filtering based on fitness, to filter out due to attitude change caused by the intermittent mobile phone three axis acceleration signal of pulse noise, and combined with the direction of gravity sensor component containing a mobile phone three axis acceleration in filtration; then, design a fitness running evolutionary modeling algorithm to increase the search space to provide support for obtaining better fitness running model the experimental results show that this method can obtain more accurate speed and fitness running model than the Brzostowski method.

【作者單位】： 福建師范大學(xué)軟件學(xué)院;武漢紡織大學(xué)數(shù)學(xué)與計(jì)算機(jī)學(xué)院;福建師范大學(xué)體育科學(xué)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61305079,61370078) 福建省自然科學(xué)基金項(xiàng)目(2015J01235,2017J01498) 福建省教育廳JK類(lèi)項(xiàng)目(JK2015006) 武漢大學(xué)軟件工程國(guó)家重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金項(xiàng)目(SKLSE 2014-10-02)
【分類(lèi)號(hào)】：TN929.53;TP274.2
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本文編號(hào)：1575612