The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2024
Session ID : 1P1-T06
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Motion Analysis of Upper Limb Function by Extended Dynamic Mode Decomposition
*Toki SUGIURAKeisuke KITANOTakuya HASHIMOTO
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Abstract

The aim of this study is to quantitatively evaluate the motor function of the upper limb from motion data measured using inertial sensors. Joint angles obtained from a rigid body link model calculated from the posture of the inertial sensor were used as feature quantities. By analyzing the joint angles using Extended Dynamic Mode Decomposition (EDMD), a linear state-space model was constructed in which the variation of the joint angles was taken as the observed value. By analyzing the observation matrices of each obtained mode, we propose that it is possible to evaluate upper limb function according to the role of motion.

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© 2024 The Japan Society of Mechanical Engineers
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