• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on E-health Networking, Application Services >Application of Nonlinear Complementary Filters to Human Motion Analysis
【24h】

Application of Nonlinear Complementary Filters to Human Motion Analysis

机译：非线性互补滤波器在人体运动分析中的应用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Analyzing human motion has involved the use of the Kalman filter for calculating the orientation of the inertial measurement unit (IMU), based on many current motion analysis systems. However, its pitfalls, including high computation costs and difficult implementation renders itself sub-optimal in the clinical environment. Meanwhile, a filter developed by Mahony et al., which was developed for vehicular studies, possessed features that overcame the former's shortcomings. In this study, we compare the efficacies of these two filters to determine the applicability of the Mahony filter in the clinic. Approximations from both systems, on the upper and lower body, prove the Mahony filter to perform as consistently and accurately as Kalman filter. Thus, the cheaper alternative presented by Mahony filter may be applicable in sports and medicine.
机译：分析人类运动涉及使用Kalman滤波器来计算惯性测量单元（IMU）的取向，基于许多当前运动分析系统。然而，它的陷阱，包括高计算成本和困难的实施呈现在临床环境中的次优。同时，由Mahony等人开发的过滤器，该过滤器是为车辆研究开发的，拥有克服前者缺点的特征。在这项研究中，我们比较这两个过滤器的效率来确定临床中Mahony过滤器的适用性。来自两个系统的近似值，在上半身上，证明了Mahony过滤器，以始终如一，准确地作为卡尔曼滤波器执行。因此，Mahony过滤器呈现的更便宜的替代方案可以适用于运动和药物。

著录项

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