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基于BLE的运动监测系统若干关键问题研究

发布时间:2018-01-21 21:28

  本文关键词: 运动状态识别 数字滤波 步伐检测 BLE协议栈 状态机 应用规范 出处:《电子科技大学》2015年硕士论文 论文类型:学位论文


【摘要】:可穿戴式运动监测系统是当下的研究热点,科技公司和国内外学者在该领域做了大量工作,并已推出一些知名产品。但是,如今的研究成果和已有产品,在信号处理、运动状态识别等方面还存在很多缺陷,精确度也参差不齐,而且研究方法较为局限,产品的营销因素远大于技术因素。因此,该技术领域还处于探索阶段,并没有完全成熟的解决方案。本文以运动监测系统的传感子系统为研究对象,采用低功耗蓝牙(BLE)作为通信方式,设计带有加速度传感器的传感设备。根据数据分析和实际条件,对运动监测的实现中涉及到的算法、研究方法、软硬件设计等方面内容进行深入研究,主要内容包含以下几个方面:(1)提出一种结合仿真结果的数字滤波器在可穿戴设备上实现的方法。根据仿真实验结果,设计了适用于运动监测的数字滤波器,滤波后能够获得平滑、易于处理的信号波形,排除信号毛刺的影响。(2)提出一种多阈值-峰值计步算法,并建立运动状态机模型。根据步行中躯干运动和手臂摆动加速度的周期性变化,提取特征值,进行步伐检测和步态判别,并排除外界加速度干扰的影响。然后编写Matlab仿真程序进行验证。状态机采用嵌套式结构,分为母状态和子状态两层,并标定状态转移条件。(3)提出一种基于SVM分类算法的特征参数有效性的验证方法,并以本次设计选取的特征参数为例,进行方法的介绍,通过对仿真实验结果的分析,讨论本次设计中特征参数在运动监测算法中的作用和有效性。此外,也通过分类预测结果对运动监测算法提供改进意见。(4)完成运动监测应用软件的实现。在BLE协议栈的应用层上,结合操作系统抽象层(OSAL)的运行机制,采用分步执行和状态转移的方式,在传感设备上完成计步算法和运动状态机的程序设计。(5)完成运动监测应用规范的设计。在BLE协议栈中定义运动监测服务,对该服务中的特性及特性属性做出规范,保证传感设备和智能终端对运动监测服务具有统一的理解。(6)采用本系统与其他两款知名智能腕带产品进行对比测试,以验证本文设计的运动监测系统的性能。证明了该系统具有良好的监测性能。
[Abstract]:Wearable motion monitoring system is the current research hotspot, technology companies and domestic and foreign scholars have done a lot of work in this field, and have launched some well-known products. However, today's research results and existing products. In signal processing, motion state recognition and other aspects, there are still many defects, the accuracy is not uniform, and the research method is more limited, the marketing factor of the product is far greater than the technical factor. The technology is still in the exploration stage, and there is no fully mature solution. In this paper, the sensor subsystem of the motion monitoring system is taken as the research object, and the low power Bluetooth BLEs are used as the communication mode. According to the data analysis and actual conditions, the algorithms, research methods, hardware and software design of motion monitoring are studied. The main contents include the following several aspects: 1) A digital filter based on simulation results is proposed to realize the wearable device. A digital filter for motion monitoring is designed. After filtering, a smooth and easily processed signal waveform is obtained, and the effect of signal burrs is eliminated. (2) A multi-threshold peak-peak step algorithm is proposed. According to the periodic changes of torso motion and arm swing acceleration in walking, the characteristic values are extracted, and the gait detection and gait detection are carried out. And eliminate the impact of external acceleration interference. Then write a Matlab simulation program to verify. The state machine uses nested structure, divided into mother state and sub-state two layers. Calibration condition of state transition. 3) A method to verify the validity of feature parameters based on SVM classification algorithm is proposed, and the method is introduced with the selected feature parameters of this design as an example. Through the analysis of the simulation results, the function and effectiveness of the feature parameters in the motion detection algorithm are discussed. The application software of motion monitoring is also implemented by classifying and forecasting results. It is on the application layer of BLE protocol stack. Combined with the operating system abstract layer (OSAL) running mechanism, the way of step by step execution and state transition is adopted. Complete the design of the step algorithm and the motion state machine on the sensing equipment. 5) complete the design of the motion monitoring application specification. Define the motion monitoring service in the BLE protocol stack. Specifications are made for features and attribute attributes in the service. Ensure that the sensor equipment and intelligent terminals have a unified understanding of motion monitoring services. 6) this system is compared with other well-known smart wrist band products for testing. In order to verify the performance of the motion monitoring system designed in this paper, it is proved that the system has good monitoring performance.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TP274

【参考文献】

相关期刊论文 前1条

1 高嵩峰;张春林;;人体参数化运动学模型建立方法的研究[J];航天医学与医学工程;2009年05期

相关硕士学位论文 前1条

1 王勇;基于力传感器的飞行模拟器运动平台控制研究[D];南京航空航天大学;2012年



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