An Adaptive Gait Detection Method Based on Clustering Analysis
[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
- CLC:
- -
- 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％.
- References:
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