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An Adaptive Gait Detection Method Based on Clustering Analysis
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[1]Jiang Ming,Zhao Hongyu,Liu Xueliang.An Adaptive Gait Detection Method Based on Clustering Analysis[J].Journal of Zhengzhou University (Engineering Science),2017,38(03):63-67.[doi:10.3969/j.issn.1671-6833.2017.03.005]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 38 Number of periods: 2017 03 Page number: 63-67 Column: Public date: 2017-05-28
Title:
An Adaptive Gait Detection Method Based on Clustering Analysis
Author(s):
Jiang Ming1; Zhao Hongyu2; Liu Xueliang1
1. School of Electronic Engineering and Intelligence, Dongguan University of Technology, Dongguan, Guangdong, 523808; 2. School of Control Science and Engineering, Dalian University of Technology, Dalian, Liaoning, 116024
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DOI:
10.3969/j.issn.1671-6833.2017.03.005
Abstract:
Gait analysis was one of the most focusd research fields in recent several years,and the gait parameters attracted increasing interest in clinical medicine,pedestrian navigation and so on.However,the existing gait detection methods had some shortcomings that prevented their successful use to many practical applications,the detection results of which were very sensitive to measurement fluctuations and detection parameters,and thereby characterized by poor robustness.In this paper,the mutual coupling relationship between different parameters was tested,and an adaptive gait detection method based on clustering analysis was proposed,so as to automatically yield the time heuristic threshold.The experimental results demonstrated the correctness and effectiveness of the method,and the gait detection accuracy over a large parameter space could be improved from 46.16％ and 53.22％ respectively to 76.13％.
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