步数检测方法及在手腕式计步器中的应用研究
发布时间：2018-07-13 18:24
【摘要】：肥胖症已经成为21世纪人类面临的最严峻的公共卫生危机之一，而由此引发的高血压、高血脂、高血糖、心脑血管病等并发症也越来越威胁着人类的健康。在这种情况下，提高身体素质，增强个人免疫力，预防慢性病的发生，越发显得重要。而增强免疫力最好的方法自然是进行适度的体育锻炼，那么量化运动量就成为一个关键因素。计步器作为一种便携式检测设备，，能够量化并监测人们的日常运动，为其提供一个可参考和比较的标准，促进人们制定合理的运动规划，达到适量运动的目的。随着科技的发展，最近几年各种手腕式产品的出现引发了IT领域新的革命。鉴于人们对运动检测和使用便利的需求，以及科技发展的推动，设计一套步数检测方法并应用于手腕式计步器变得非常重要和必要。 本文研究主要分为两部分：第一，建立人体运动模型，根据运动时手腕和身体的周期性加速度变化，以及检测到的加速度波形特征，设计一套适用于手腕的步数检测方法。第二，利用三轴加速度传感器采集数据，设计计步器的硬件结构，并把这套步数检测方法应用于手腕式计步器，实验结果表明，该手腕式计步器能够进行准确的步数检测。 手腕式计步器的实验评估以如下方式进行：首先，使用计步器对不同被测试者，在不同运动形态下进行步数检测。测试结果发现该手腕式计步器的计步精确度高于95%，满足设计要求。其次，把计步器与其他步数检测方法和产品进行对比测试。对比对象分别是多数文献中用的动态阈值检测方法、咕咚健身计步软件、耐克公司的Fuelband腕带和嘉兴统捷公司的jWotch腕宝。综合以上比较可知，本文设计的手腕式计步器的综合性能更优。 本文的贡献在于，设计了一套步数检测方法，并成功的应用在手腕式计步器上。与其他检测方法相比，手腕式步数检测方法的设计难点在于有效去除手腕摆动对步数检测的干扰。众所周知，人体运动时手腕的位置和摆动方式因人而异，即使同一个人每次运动也不尽相同，并且手腕摆动与人体运动并不是总能呈现某种形式的相关。所有这些都给手腕上步数检测方法的设计带来了挑战，因此市场上及文献中对手腕上步数检测方法的设计研究仍比较匮乏且存在不足，本文针对这一问题给出了很好的解决方案。
[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.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP274;R318.6
本文编号：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.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP274;R318.6
【参考文献】
相关期刊论文 前1条
1 韩文正;冯迪;李鹏;马文超;;基于加速度传感器LIS3DH的计步器设计[J];传感器与微系统;2012年11期
本文编号：2120341
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