Design of Gait Detection System Based on FCM Algorithm

  • Xiaochen Guo The University of Manchester;Shandong University of Technology
  • Chao Yang Shanghai Marine Equipment Research Institute
  • Xuanling Chen The University of Manchester
  • Tongle Xu Shandong University of Technology
Article ID: 3061
110 Views, 37 PDF Downloads
DOI: https://doi.org/10.18282/l-e.v10i8.3061
Keywords: FCM Algorithm, Real-time Gait Detection, Internal Measurement Unit (IMU), Machine Learning

Abstract

Gait detection technology is widely used in medical and military fields. The key of gait detection technology is low cost, high accuracy and portable detection equipment and real-time detection algorithm. This paper introduces a real-time gait detection system, this kind of gait detection system using machine learning algorithm based on FCM clustering analysis and calibration of the sensor data filter algorithm based on rules, the kinematic data is divided into five different gait events, namely the heel strike , foot flat, heel off , toe off and initial swing phase . Compared with 3D posture capture experiment equipment, the accuracy of gait event detection of the proposed gait detection system is verified to be highly reliable.

References

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Published
2022-06-20
How to Cite
Guo, X., Yang, C., Chen, X., & Xu, T. (2022). Design of Gait Detection System Based on FCM Algorithm. Learning & Education, 10(8), 64-66. https://doi.org/10.18282/l-e.v10i8.3061
Issue
Vol. 10 No. 8 (2021)
Section
Article

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