期刊文献+

The Use of the Matrix Method for the Study of Human Motion:Theory and Applications

The Use of the Matrix Method for the Study of Human Motion:Theory and Applications
下载PDF
导出
摘要 Kinematics has been successfully used to describe body motion without reference to the kinetics (or forces causing the motion). In this article, both the theory and applications of the matrix method are provided to describe complex human motion. After the definition of a Cartesian coordinate frame is introduced, the description of transformations between multiple coordinate frames is given; the decomposition of a transformation matrix into anatomical joint motion parameters (e.g. Euler angles) is then explained. The advantages of the matrix method are illustrated by three examples related to biomechanical studies. The first describes a reaching and grasping task in which matrix transformations are applied to position the hand with respect to an object during grasping. The second example demonstrates the utility of the matrix method in revealing the coupling motion of the wrist between flexion-extension and radial-ulnar deviation. The last example highlights the indispensable use of the matrix method for the study of knee biomechanics, including the description of knee joint kinematics during functional activities and determination of in-situ ligament forces using robotic technology, which has advanced our understanding of the functions of the cruciate ligaments to knee joint kinematics. It is hoped that the theoretical development and biomechanical application examples will help the readers apply the matrix method to research problems related to human motion. Kinematics has been successfully used to describe body motion without reference to the kinetics (or forces causing the motion). In this article, both the theory and applications of the matrix method are provided to describe complex human motion. After the definition of a Cartesian coordinate frame is introduced, the description of transformations between multiple coordinate frames is given; the decomposition of a transformation matrix into anatomical joint motion parameters (e.g. Euler angles) is then explained. The advantages of the matrix method are illustrated by three examples related to biomechanical studies. The first describes a reaching and grasping task in which matrix transformations are applied to position the hand with respect to an object during grasping. The second example demonstrates the utility of the matrix method in revealing the coupling motion of the wrist between flexion-extension and radial-ulnar deviation. The last example highlights the indispensable use of the matrix method for the study of knee biomechanics, including the description of knee joint kinematics during functional activities and determination of in-situ ligament forces using robotic technology, which has advanced our understanding of the functions of the cruciate ligaments to knee joint kinematics. It is hoped that the theoretical development and biomechanical application examples will help the readers apply the matrix method to research problems related to human motion.
出处 《生物医学工程学杂志》 EI CAS CSCD 2003年第3期375-383,共9页 Journal of Biomedical Engineering
关键词 人类运动 矩阵 运动学 生物医学 Kinematics Matrix method Biomechanics Coordinate frame
  • 相关文献

参考文献8

  • 1Abdel-Aziz Y1, Karara HM. Direct linear transformation from comparator coordinates into object space coordinates in closerange photogrammetry. In: Proceedings of the ASP/IU Symposium on Close-Range Photogrammetry. American Society of Photogrammetry, Falls Church, Urbana, Illinois, 1971. 1-18.
  • 2An KN, Chao EY. Kinematic analysis of human movement.Annals of Biomedical Engineering,19841 12 : 585.
  • 3Blankevoort L, Huiskes R, de Lange A. Helical axes of passive knee joint motions. J Biomech, 1984,23 : 1219.
  • 4Chao EY. Justification of triaxial goniometer for the measurement of joint rotation. J Biomech, 1980,13 : 989.
  • 5Orood ES, Suntay WJ. A joint coordinate system for the clinical description of three-dlmensional motions s application to the knee. J Biomech Eng,1983, 105 : 136.
  • 6Woltring HJ, Long K, Osterbauer PJ. Instantaneous helical axis estimation from 3-D video data in neck kinematics for whiplash diagnostics. J Biomech, 1994127 : 1415.
  • 7Woo SL, Debski RE, Zeminski J, Abramowitch SD, Saw SS,Fenwick JA Injury and repair of ligaments and tendons. Annu Rev Biomed Eng. 2000,2 : 83.
  • 8Zatsiorsky VM. Kinematics of human motion. Human Kinetics,Champaign, IL,1998.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部