步數(shù)檢測方法及在手腕式計(jì)步器中的應(yīng)用研究
發(fā)布時(shí)間：2018-07-13 18:24
【摘要】：肥胖癥已經(jīng)成為21世紀(jì)人類面臨的最嚴(yán)峻的公共衛(wèi)生危機(jī)之一，而由此引發(fā)的高血壓、高血脂、高血糖、心腦血管病等并發(fā)癥也越來越威脅著人類的健康。在這種情況下，提高身體素質(zhì)，增強(qiáng)個(gè)人免疫力，預(yù)防慢性病的發(fā)生，越發(fā)顯得重要。而增強(qiáng)免疫力最好的方法自然是進(jìn)行適度的體育鍛煉，那么量化運(yùn)動(dòng)量就成為一個(gè)關(guān)鍵因素。計(jì)步器作為一種便攜式檢測設(shè)備，，能夠量化并監(jiān)測人們的日常運(yùn)動(dòng)，為其提供一個(gè)可參考和比較的標(biāo)準(zhǔn)，促進(jìn)人們制定合理的運(yùn)動(dòng)規(guī)劃，達(dá)到適量運(yùn)動(dòng)的目的。隨著科技的發(fā)展，最近幾年各種手腕式產(chǎn)品的出現(xiàn)引發(fā)了IT領(lǐng)域新的革命。鑒于人們對運(yùn)動(dòng)檢測和使用便利的需求，以及科技發(fā)展的推動(dòng)，設(shè)計(jì)一套步數(shù)檢測方法并應(yīng)用于手腕式計(jì)步器變得非常重要和必要。 本文研究主要分為兩部分：第一，建立人體運(yùn)動(dòng)模型，根據(jù)運(yùn)動(dòng)時(shí)手腕和身體的周期性加速度變化，以及檢測到的加速度波形特征，設(shè)計(jì)一套適用于手腕的步數(shù)檢測方法。第二，利用三軸加速度傳感器采集數(shù)據(jù)，設(shè)計(jì)計(jì)步器的硬件結(jié)構(gòu)，并把這套步數(shù)檢測方法應(yīng)用于手腕式計(jì)步器，實(shí)驗(yàn)結(jié)果表明，該手腕式計(jì)步器能夠進(jìn)行準(zhǔn)確的步數(shù)檢測。 手腕式計(jì)步器的實(shí)驗(yàn)評估以如下方式進(jìn)行：首先，使用計(jì)步器對不同被測試者，在不同運(yùn)動(dòng)形態(tài)下進(jìn)行步數(shù)檢測。測試結(jié)果發(fā)現(xiàn)該手腕式計(jì)步器的計(jì)步精確度高于95%，滿足設(shè)計(jì)要求。其次，把計(jì)步器與其他步數(shù)檢測方法和產(chǎn)品進(jìn)行對比測試。對比對象分別是多數(shù)文獻(xiàn)中用的動(dòng)態(tài)閾值檢測方法、咕咚健身計(jì)步軟件、耐克公司的Fuelband腕帶和嘉興統(tǒng)捷公司的jWotch腕寶。綜合以上比較可知，本文設(shè)計(jì)的手腕式計(jì)步器的綜合性能更優(yōu)。 本文的貢獻(xiàn)在于，設(shè)計(jì)了一套步數(shù)檢測方法，并成功的應(yīng)用在手腕式計(jì)步器上。與其他檢測方法相比，手腕式步數(shù)檢測方法的設(shè)計(jì)難點(diǎn)在于有效去除手腕擺動(dòng)對步數(shù)檢測的干擾。眾所周知，人體運(yùn)動(dòng)時(shí)手腕的位置和擺動(dòng)方式因人而異，即使同一個(gè)人每次運(yùn)動(dòng)也不盡相同，并且手腕擺動(dòng)與人體運(yùn)動(dòng)并不是總能呈現(xiàn)某種形式的相關(guān)。所有這些都給手腕上步數(shù)檢測方法的設(shè)計(jì)帶來了挑戰(zhàn)，因此市場上及文獻(xiàn)中對手腕上步數(shù)檢測方法的設(shè)計(jì)研究仍比較匱乏且存在不足，本文針對這一問題給出了很好的解決方案。
[Abstract]:Obesity has become one of the most severe public health crises in the 21st century, and the complications such as hypertension, hyperlipidemia, hyperglycemia, cardiovascular and cerebrovascular diseases are increasingly threatening human health. In this case, it is more and more important to improve physical fitness, enhance personal immunity and prevent the occurrence of chronic diseases. The best way to enhance immunity is naturally to exercise moderately, so quantifying exercise is a key factor. As a portable detection device, the pedometer can quantify and monitor people's daily movement, provide a reference and comparative standard for it, and promote people to make reasonable motion planning to achieve the goal of moderate movement. With the development of science and technology, the emergence of various wrist products in recent years has triggered a new revolution in IT field. In view of the demand for the convenience of motion detection and use, and the development of science and technology, it is very important and necessary to design a set of step number detection method and apply it to wrist pedometer. This paper is mainly divided into two parts: first, establish a human body motion model, according to the periodic acceleration changes of wrist and body, as well as the characteristics of detected acceleration waveform, design a set of step detection method suitable for wrist. Secondly, the hardware structure of the pedometer is designed by using the three-axis accelerometer to collect data, and this method is applied to the wrist pedometer. The experimental results show that the pedometer can accurately detect the step number. The experimental evaluation of wrist pedometer is carried out in the following ways: firstly, the steps of different subjects under different motion patterns are measured by using the pedometer. The test results show that the precision of the wrist pedometer is higher than 95, which meets the design requirements. Secondly, the pedometer is compared with other step number testing methods and products. The contrasting objects are the dynamic threshold detection method used in most literatures, the fitness software, the Fuelband wristband of Nike and the jWotch carpal of Jiaxing Tongjie Co., Ltd. Comprehensive comparison shows that the wrist pedometer designed in this paper has better comprehensive performance. The contribution of this paper lies in the design of a set of step detection method and its successful application in wrist pedometer. Compared with other detection methods, the design difficulty of wrist step detection is to remove the interference of wrist swing to step detection effectively. It is well known that the position and mode of wrists in human motion vary from person to person, even if the same person moves differently every time, and the wrists swing and human motion do not always show some form of correlation. All of these have brought challenges to the design of the method for detecting the number of steps on the wrist, so the research on the design of the method for detecting the number of steps on the wrist in the market and in the literature is still relatively scarce and insufficient. This paper gives a good solution to this problem.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP274;R318.6
本文編號：2120341
[Abstract]:Obesity has become one of the most severe public health crises in the 21st century, and the complications such as hypertension, hyperlipidemia, hyperglycemia, cardiovascular and cerebrovascular diseases are increasingly threatening human health. In this case, it is more and more important to improve physical fitness, enhance personal immunity and prevent the occurrence of chronic diseases. The best way to enhance immunity is naturally to exercise moderately, so quantifying exercise is a key factor. As a portable detection device, the pedometer can quantify and monitor people's daily movement, provide a reference and comparative standard for it, and promote people to make reasonable motion planning to achieve the goal of moderate movement. With the development of science and technology, the emergence of various wrist products in recent years has triggered a new revolution in IT field. In view of the demand for the convenience of motion detection and use, and the development of science and technology, it is very important and necessary to design a set of step number detection method and apply it to wrist pedometer. This paper is mainly divided into two parts: first, establish a human body motion model, according to the periodic acceleration changes of wrist and body, as well as the characteristics of detected acceleration waveform, design a set of step detection method suitable for wrist. Secondly, the hardware structure of the pedometer is designed by using the three-axis accelerometer to collect data, and this method is applied to the wrist pedometer. The experimental results show that the pedometer can accurately detect the step number. The experimental evaluation of wrist pedometer is carried out in the following ways: firstly, the steps of different subjects under different motion patterns are measured by using the pedometer. The test results show that the precision of the wrist pedometer is higher than 95, which meets the design requirements. Secondly, the pedometer is compared with other step number testing methods and products. The contrasting objects are the dynamic threshold detection method used in most literatures, the fitness software, the Fuelband wristband of Nike and the jWotch carpal of Jiaxing Tongjie Co., Ltd. Comprehensive comparison shows that the wrist pedometer designed in this paper has better comprehensive performance. The contribution of this paper lies in the design of a set of step detection method and its successful application in wrist pedometer. Compared with other detection methods, the design difficulty of wrist step detection is to remove the interference of wrist swing to step detection effectively. It is well known that the position and mode of wrists in human motion vary from person to person, even if the same person moves differently every time, and the wrists swing and human motion do not always show some form of correlation. All of these have brought challenges to the design of the method for detecting the number of steps on the wrist, so the research on the design of the method for detecting the number of steps on the wrist in the market and in the literature is still relatively scarce and insufficient. This paper gives a good solution to this problem.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TP274;R318.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 韓文正;馮迪;李鵬;馬文超;;基于加速度傳感器LIS3DH的計(jì)步器設(shè)計(jì)[J];傳感器與微系統(tǒng);2012年11期
本文編號：2120341
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