Development of Gait Classification System Using Six-Axis Inertial Sensors by CNN-LSTM

Restoration of walking function is the most important goal of rehabilitation. However, the evaluation of post-stroke rehabilitation lacks quantitative elements. In this study, we used an IMU to acquire the angles of three axes (rotation of x-axis, rotation of y-axis, and rotation of z-axis) of the k...

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Bibliographic Details

Published in:	2024 Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS) pp. 1 - 5
Main Authors:	Ohno, Shotaro, Nagamune, Kouki
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.11.2024
Subjects:	Data models Deep learning Gait IMU Inertial sensors Knee Legged locomotion Motion measurement Pattern recognition Predictive models stroke Time series analysis Training Training data
Online Access:	Get full text
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