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Author:

Liu Xiaomin (Liu Xiaomin.) | Pan Chenxi (Pan Chenxi.) | Chi Xuchong (Chi Xuchong.) | Gao Jian (Gao Jian.) | Wang Fei (Wang Fei.) | Guo Wei (Guo Wei.)

Indexed by:

CPCI-S EI Scopus

Abstract:

Plantar pressure analysis is a human force line evaluation method that has emerged in recent years, but the main mechanical index currently used is the statistical mechanical characteristics of the center of gravity of both feet, which loses the spatial distribution information and cannot effectively reflect regional structural force differences. Therefore, a method of human body force line evaluation based on the characteristic distribution index of plantar pressure is proposed in this paper. This paper experimentally analyzed the plantar pressure of 15 healthy people with no severe walking dysfunction of the lower limbs and no serious bony deformity of the foot. The results showed that graphical features such as roundness, rectangularity, and the ratio of long and short axes have good stability and validity in static assessment. Using these graphical features for human body line assessment effectively solved the problem that the traditional mechanical indexes lost spatial distribution information and could not effectively reflect the regional structural force differences.

Keyword:

human body force line image segmentation distribution of plantar pressure

Author Community:

  • [ 1 ] [Liu Xiaomin]Beijing Univ Technol, Sch Informat & Commun Engn, Beijing, Peoples R China
  • [ 2 ] [Pan Chenxi]Beijing Univ Technol, Sch Informat & Commun Engn, Beijing, Peoples R China
  • [ 3 ] [Chi Xuchong]Beijing Univ Technol, Sch Informat & Commun Engn, Beijing, Peoples R China
  • [ 4 ] [Gao Jian]Beijing Univ Technol, Sch Informat & Commun Engn, Beijing, Peoples R China
  • [ 5 ] [Wang Fei]Air Force Med Ctr, Dept Orthoped Integrated Tradit Chinese & Western, Beijing, Peoples R China
  • [ 6 ] [Guo Wei]Air Force Med Ctr, Dept Orthoped Integrated Tradit Chinese & Western, Beijing, Peoples R China

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Source :

2023 11TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, ICBCB

Year: 2023

Page: 71-75

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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