Research on Pattern Classification of SVM-Based Gait Signal

Jing Yin

doi:10.4028/www.scientific.net/AMR.798-799.526

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Research on Pattern Classification of SVM-Based...

Research on Pattern Classification of SVM-Based Gait Signal

Abstract:

Research on Parkinson-based gait is a hotspot nowadays. However, few researches on the gait characteristics of PD patients start from the plantar pressure signal. In this paper, characteristic parameters are extracted from the gaits of PD patients and healthy people, and two-sided T inspection is performed to find significantly different parameters as input for the model classifier. The SVM classifier designed can achieve good result in discriminating the gaits of patients and normal people.

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Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

526-529

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.526

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Online since:

September 2013

Authors:

Jing Yin

Keywords:

Characteristic Parameter, Gait Signal, Parkinson

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References

[1] Wu Jian, Li Jianshe, Research Progress on the Pedestrian Gait Biomechanics of Human Beings, Chinese Journal of Sports Medicine, 2022, 21(3): 305-307.

Google Scholar

[2] Yuan Liwei, Wang Jian, Gait Characteristics of Parkinson's Patients, Chinese Journal of Rehabilitation Medicine, 2010, 25 (6)：586-588.

Google Scholar

[3] Song Chengwei, Fang Ming, Gao Kaibo, etc., Tissue Engineering Research and Clinical Rehabilitation of 10 Parkinson's Patients Treated by Peripheral Blood HSCT in China, 2009, 13 (36) : 7186-7188.

Google Scholar

[4] Sun Jiali, Tu Guiqing, Gait Analysis, Chinese Rehabilitation Medicine, 2010, 5: 427-430.

Google Scholar

[5] Wang Pingping, Wang Jun, Analysis and Research on Gait Signal Based on DCCA and MF_DCCA, (2012).

Google Scholar