Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole

Nian Peng; Wei Meng; Quan Liu; Shengquan Xie

doi:10.1007/978-3-031-13835-5_4

Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole

Nian Peng
, Wei Meng
, Quan Liu
, Shengquan Xie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In order to realize gait assessment and robot-assisted control in lower extremity rehabilitation scenarios, prevention and diagnosis of lower extremity diseases, a sensitivity-enhanced array fiber optic sensing insole for plantar pressure monitoring was designed by taking advantage of the characteristics of fiber optic sensor, such as lightness, anti-electromagnetic interference, strong multiplexing capability, and sensitivity to stress and strain. The gait parameters were effectively analyzed by collecting the plantar pressure data under natural walking. A gait recognition method based on plantar pressure at different walking speeds was proposed to solve the problems of the complexity and poor accuracy of gait recognition. The support vector machine was used to classify four gait periods: the initial double-limb support phase, the single-limb stance phase, the second double-limb support phase and the swing phase. The overall gait phase recognition rate of the classifier was 90.37 %. The experiment verifies the validity of the fiber optic pressure insole to measure gait parameters and the accuracy of gait recognition.

Original language	English
Title of host publication	Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
Editors	Honghai Liu, Weihong Ren, Zhouping Yin, Lianqing Liu, Li Jiang, Guoying Gu, Xinyu Wu
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	37-48
Number of pages	12
ISBN (Print)	9783031138348
DOIs	https://doi.org/10.1007/978-3-031-13835-5_4
State	Published - 2022
Externally published	Yes
Event	15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 - Harbin, China Duration: 1 Aug 2022 → 3 Aug 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13457 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Country/Territory	China
City	Harbin
Period	1/08/22 → 3/08/22

Keywords

Fiber bragg grating
Gait analysis
Gait phase recognition
Plantar pressure

Access to Document

10.1007/978-3-031-13835-5_4

Cite this

Peng, N., Meng, W., Liu, Q., & Xie, S. (2022). Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. In H. Liu, W. Ren, Z. Yin, L. Liu, L. Jiang, G. Gu, & X. Wu (Eds.), Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings (pp. 37-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13457 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-13835-5_4

Peng, Nian ; Meng, Wei ; Liu, Quan et al. / Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings. editor / Honghai Liu ; Weihong Ren ; Zhouping Yin ; Lianqing Liu ; Li Jiang ; Guoying Gu ; Xinyu Wu. Springer Science and Business Media Deutschland GmbH, 2022. pp. 37-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a5eadedc9ae64ef78a3c45709b2f0b76,

title = "Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole",

abstract = "In order to realize gait assessment and robot-assisted control in lower extremity rehabilitation scenarios, prevention and diagnosis of lower extremity diseases, a sensitivity-enhanced array fiber optic sensing insole for plantar pressure monitoring was designed by taking advantage of the characteristics of fiber optic sensor, such as lightness, anti-electromagnetic interference, strong multiplexing capability, and sensitivity to stress and strain. The gait parameters were effectively analyzed by collecting the plantar pressure data under natural walking. A gait recognition method based on plantar pressure at different walking speeds was proposed to solve the problems of the complexity and poor accuracy of gait recognition. The support vector machine was used to classify four gait periods: the initial double-limb support phase, the single-limb stance phase, the second double-limb support phase and the swing phase. The overall gait phase recognition rate of the classifier was 90.37 \%. The experiment verifies the validity of the fiber optic pressure insole to measure gait parameters and the accuracy of gait recognition.",

keywords = "Fiber bragg grating, Gait analysis, Gait phase recognition, Plantar pressure",

author = "Nian Peng and Wei Meng and Quan Liu and Shengquan Xie",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 ; Conference date: 01-08-2022 Through 03-08-2022",

year = "2022",

doi = "10.1007/978-3-031-13835-5\_4",

language = "英语",

isbn = "9783031138348",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "37--48",

editor = "Honghai Liu and Weihong Ren and Zhouping Yin and Lianqing Liu and Li Jiang and Guoying Gu and Xinyu Wu",

booktitle = "Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings",

}

Peng, N, Meng, W, Liu, Q & Xie, S 2022, Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. in H Liu, W Ren, Z Yin, L Liu, L Jiang, G Gu & X Wu (eds), Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13457 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 37-48, 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022, Harbin, China, 1/08/22. https://doi.org/10.1007/978-3-031-13835-5_4

Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. / Peng, Nian; Meng, Wei; Liu, Quan et al.
Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings. ed. / Honghai Liu; Weihong Ren; Zhouping Yin; Lianqing Liu; Li Jiang; Guoying Gu; Xinyu Wu. Springer Science and Business Media Deutschland GmbH, 2022. p. 37-48 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13457 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole

AU - Peng, Nian

AU - Meng, Wei

AU - Liu, Quan

AU - Xie, Shengquan

PY - 2022

Y1 - 2022

N2 - In order to realize gait assessment and robot-assisted control in lower extremity rehabilitation scenarios, prevention and diagnosis of lower extremity diseases, a sensitivity-enhanced array fiber optic sensing insole for plantar pressure monitoring was designed by taking advantage of the characteristics of fiber optic sensor, such as lightness, anti-electromagnetic interference, strong multiplexing capability, and sensitivity to stress and strain. The gait parameters were effectively analyzed by collecting the plantar pressure data under natural walking. A gait recognition method based on plantar pressure at different walking speeds was proposed to solve the problems of the complexity and poor accuracy of gait recognition. The support vector machine was used to classify four gait periods: the initial double-limb support phase, the single-limb stance phase, the second double-limb support phase and the swing phase. The overall gait phase recognition rate of the classifier was 90.37 %. The experiment verifies the validity of the fiber optic pressure insole to measure gait parameters and the accuracy of gait recognition.

AB - In order to realize gait assessment and robot-assisted control in lower extremity rehabilitation scenarios, prevention and diagnosis of lower extremity diseases, a sensitivity-enhanced array fiber optic sensing insole for plantar pressure monitoring was designed by taking advantage of the characteristics of fiber optic sensor, such as lightness, anti-electromagnetic interference, strong multiplexing capability, and sensitivity to stress and strain. The gait parameters were effectively analyzed by collecting the plantar pressure data under natural walking. A gait recognition method based on plantar pressure at different walking speeds was proposed to solve the problems of the complexity and poor accuracy of gait recognition. The support vector machine was used to classify four gait periods: the initial double-limb support phase, the single-limb stance phase, the second double-limb support phase and the swing phase. The overall gait phase recognition rate of the classifier was 90.37 %. The experiment verifies the validity of the fiber optic pressure insole to measure gait parameters and the accuracy of gait recognition.

KW - Fiber bragg grating

KW - Gait analysis

KW - Gait phase recognition

KW - Plantar pressure

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DO - 10.1007/978-3-031-13835-5_4

M3 - 会议稿件

AN - SCOPUS:85136143462

SN - 9783031138348

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 37

EP - 48

BT - Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings

A2 - Liu, Honghai

A2 - Ren, Weihong

A2 - Yin, Zhouping

A2 - Liu, Lianqing

A2 - Jiang, Li

A2 - Gu, Guoying

A2 - Wu, Xinyu

PB - Springer Science and Business Media Deutschland GmbH

T2 - 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022

Y2 - 1 August 2022 through 3 August 2022

ER -

Peng N, Meng W, Liu Q, Xie S. Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. In Liu H, Ren W, Yin Z, Liu L, Jiang L, Gu G, Wu X, editors, Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 37-48. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-13835-5_4