首页> 外文期刊>Wireless Sensor Systems, IET >Wireless walker dynamometer design and static calibration based on ant colony system
【24h】

Wireless walker dynamometer design and static calibration based on ant colony system

机译:基于蚁群系统的无线助力测功机设计与静态标定

获取原文
获取原文并翻译 | 示例
       

摘要

Walker is a widely used mobility aid to improve users' stability and ambulatory ability. Its dynamometer instrumentation is necessary for quantitative study of basic biomechanics and functional requirements for effective use. How to extract the kinetic demands exactly and without any disturbance to normal gait remains a bottleneck for walker dynamometer design. Based on the force measurement of handle reaction vectors (HRVs) applied to the walker, this study developed a novel strain gauge-based wireless walker dynamometer system integrated with a static calibration algorithm based on ant colony system (ACS). Compared with the traditional measurement of HRV, the proposed method enhances security and flexibility of walker use by using one wireless data transmission system connecting 12 strain-gauge bridges mounted on the walker frame with the computer. To improve high-dimensional calibration performance, an ACS algorithm was employed to optimise the sensitivity weight matrix during calibration. To evaluate force measurement reliability, system performance with ACS algorithm was testified and its mean non-linearity, mean crosstalk and maximal force measurement accuracy error were found to be 6.88, 6.10 and 7.46%, respectively, which were much better than those of traditional linear calibration methods. This implemented walker dynamometer system may prove to be a reliable tool for measurement of hand loads and description of kinetic analysis of basic walker-assisted gait.
机译:Walker是一种广泛使用的移动辅助设备,可以提高用户的稳定性和动态能力。它的测功仪器对于定量研究基本生物力学和有效使用的功能要求是必需的。如何精确地提取动力学需求而又不会对正常步态产生任何干扰,这仍然是沃克测功机设计的瓶颈。基于施加到助行器上的手柄反应矢量(HRV)的力测量,本研究开发了一种基于应变片的新型无线助力测功机系统,该系统集成了基于蚁群系统(ACS)的静态校准算法。与传统的HRV测量相比,该方法通过使用一个无线数据传输系统来增强步行者使用安全性和灵活性,该无线数据传输系统将安装在步行者框架上的12个应变计桥与计算机连接起来。为了提高高维校准性能,在校准过程中采用了ACS算法来优化灵敏度权重矩阵。为了评估测力的可靠性,验证了采用ACS算法的系统性能,发现其平均非线性度,平均串扰和最大测力精度误差分别为6.88、6.10和7.46%,远优于传统线性测度。校准方法。这种实施的步行者测功机系统可以证明是一种可靠的工具,可用于测量手部负荷并描述基本步行者步态的动力学分析。

著录项

  • 来源
    《Wireless Sensor Systems, IET》 |2013年第3期|1-6|共6页
  • 作者

    Xu; R.; Ming; D.; Qiu; S.; Wang; X.;

  • 作者单位

    Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, People's Republic of China|c|;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 23:57:30

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号