【作者】 管志光；

【导师】 林明星；

【作者基本信息】 山东科技大学 ， 精密仪器及机械， 2005， 硕士

【摘要】 人体重心是人体环节惯性参数中能够反映人体形态结构和质量分布特征的基本参数之一,可以为体育运动、医疗康复等领域提供参考依据,因此人体重心的研究具有重要的学术和应用价值。 本课题来源于国家自然科学基金项目“便携式人体重心位置动态检测系统的研究”。本课题的研究不仅能在理论上丰富人体重心位置动态检测测试理论,而且能够简易、快速、准确地实现对人体重心的自动动态检测、数据及图像显示和打印,为我国的体育教学、体育训练及科研、全民健身、医疗康复等方面提供一套便捷的人体重心位置动态检测系统。 本文首先对人体重心测试原理进行了分析讨论,依据力矩平衡原理推导出了重心坐标计算公式;然后在重心检测理论分析的基础上研制了新型的四支点重心检测平台,以专用的称重传感器代替传统的磅秤或电子秤,使其测量精度和速度都有了很大提高。同时编制了一套集在线数据采集、图形显示、数据存储与查看及数据处理于一体的测试软件,该软件功能强大,可以实现人体的静态和动态测试。在测试信号分析部分利用AR模型对重心信号进行功率谱估计,通过检查各频率区域带的功率在全部功率谱中的百分比推断患者受损的系统、部位;最后给出了两组人体重心测试实验,实验结果表明该测试系统具有较高的精度,有良好的推广前景。更多还原

【Abstract】 The gravity center of human body is one of the basic segment inertia parameters reflecting the structure of configuration and character of mass distribution of human body, which can offer references in the medical rehabilitation and the sports activity. Therefore, the study of the gravity center is of importance in both learning and application.This subject stems from the project of the research on the portable dynamic testing system of gravity center of human body supported by the NSFC. The research of this subject not only can enrich the dynamic testing theory of the human gravity center in theory, but also can provide a simple, rapid and accurate method to realize the dynamic measurement for human gravity center in practice. A convenient testing system for the human gravity center is offered at last, which can be used in the following fields, such as the sports teaching, training and scientific research, the nationwide fitness programs and the medical rehabilitation.In this paper, the testing theory is discussed firstly and the coordinate equations of the gravity center are deduced according to the moment balance theory. Then design a new four-fulcrum testing platform, in which the special weight sensor is replaced for the conventional balance or electric balance to improve the measurement precision. And software is developed, which can complete the data acquisition, graph display, data storage, query and procession. In the signal analysis part, an AR model for power spectrum estimation is setup, and by examining the percent of the frequency region in the whole power spectrum to conclude the damaging system and part. At last, two group experiments are given, the results indicate that this testing system has high precision and popular prospect.更多还原