Development of customized orthotics based on lower-leg anthropometric data and task

Shramana Ghosh; Nina Robson; J. M. McCarthy

doi:10.1007/978-3-319-60639-2_6

Development of customized orthotics based on lower-leg anthropometric data and task

Shramana Ghosh, Nina Robson, J. M. McCarthy

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

2 Scopus citations

Abstract

The paper presents the development of a customizable lower-leg orthotic device. It consists of a single degree of freedom multi-loop linkage designed to facilitate task-specific lower extremity training for rehabilitation purposes. The device guides the knee, ankle and foot of the user along a walking trajectory obtained from motion capture of a healthy human subject. We hypothesize that a device that closely mimics natural human walking motion will be able to provide more desirable design solutions in terms of comfort, stability and safety. Multibody dynamic simulation software OpenSim is used to characterize and assess the trajectory produced by the proposed device. The dynamic simulation predicts the effects of walking with the device and allows the study of the interaction of the orthotic device with the human body during the conceptual and detailed design phases.

Original language	English
Title of host publication	Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017
Editors	Christianne Falcao, Tareq Ahram
Publisher	Springer Verlag
Pages	54-63
Number of pages	10
ISBN (Print)	9783319606385
DOIs	https://doi.org/10.1007/978-3-319-60639-2_6
State	Published - 2018
Externally published	Yes
Event	AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017 - Los Angeles, United States Duration: Jul 17 2017 → Jul 21 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	608
ISSN (Print)	2194-5357

Conference

Conference	AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017
Country/Territory	United States
City	Los Angeles
Period	07/17/17 → 07/21/17

Funding

The authors gratefully acknowledge the support of the National Science Foundation (NSF), award Id #1404011. We would like to thank Mark Plecnik, Postdoctoral Scholar at University of California Berkeley for his help in obtaining solutions for 11 point synthesis of Six-bar function generators. We also acknowledge the assistance of Ahmed Shehab, Abdulsahib Al Hazza, Hilen Rocha, Abdullaziz Al Kharas, undergraduate students in Mechanical Engineering department of California State University Fullerton in assisting in the development of the 3D prototype.

Funders	Funder number
National Science Foundation	1404011

Keywords

Anthropometric design
Mechanical design
Orthotic
Simulation study
Walking

Access to Document

10.1007/978-3-319-60639-2_6

Cite this

Ghosh, S., Robson, N., & McCarthy, J. M. (2018). Development of customized orthotics based on lower-leg anthropometric data and task. In C. Falcao, & T. Ahram (Eds.), Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017 (pp. 54-63). (Advances in Intelligent Systems and Computing; Vol. 608). Springer Verlag. https://doi.org/10.1007/978-3-319-60639-2_6

Ghosh, Shramana ; Robson, Nina ; McCarthy, J. M. / Development of customized orthotics based on lower-leg anthropometric data and task. Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017. editor / Christianne Falcao ; Tareq Ahram. Springer Verlag, 2018. pp. 54-63 (Advances in Intelligent Systems and Computing).

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title = "Development of customized orthotics based on lower-leg anthropometric data and task",

abstract = "The paper presents the development of a customizable lower-leg orthotic device. It consists of a single degree of freedom multi-loop linkage designed to facilitate task-specific lower extremity training for rehabilitation purposes. The device guides the knee, ankle and foot of the user along a walking trajectory obtained from motion capture of a healthy human subject. We hypothesize that a device that closely mimics natural human walking motion will be able to provide more desirable design solutions in terms of comfort, stability and safety. Multibody dynamic simulation software OpenSim is used to characterize and assess the trajectory produced by the proposed device. The dynamic simulation predicts the effects of walking with the device and allows the study of the interaction of the orthotic device with the human body during the conceptual and detailed design phases.",

keywords = "Anthropometric design, Mechanical design, Orthotic, Simulation study, Walking",

author = "Shramana Ghosh and Nina Robson and McCarthy, {J. M.}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017 ; Conference date: 17-07-2017 Through 21-07-2017",

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language = "English",

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Ghosh, S, Robson, N & McCarthy, JM 2018, Development of customized orthotics based on lower-leg anthropometric data and task. in C Falcao & T Ahram (eds), Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017. Advances in Intelligent Systems and Computing, vol. 608, Springer Verlag, pp. 54-63, AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017, Los Angeles, United States, 07/17/17. https://doi.org/10.1007/978-3-319-60639-2_6

Development of customized orthotics based on lower-leg anthropometric data and task. / Ghosh, Shramana; Robson, Nina; McCarthy, J. M.
Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017. ed. / Christianne Falcao; Tareq Ahram. Springer Verlag, 2018. p. 54-63 (Advances in Intelligent Systems and Computing; Vol. 608).

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

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AU - Robson, Nina

AU - McCarthy, J. M.

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PY - 2018

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N2 - The paper presents the development of a customizable lower-leg orthotic device. It consists of a single degree of freedom multi-loop linkage designed to facilitate task-specific lower extremity training for rehabilitation purposes. The device guides the knee, ankle and foot of the user along a walking trajectory obtained from motion capture of a healthy human subject. We hypothesize that a device that closely mimics natural human walking motion will be able to provide more desirable design solutions in terms of comfort, stability and safety. Multibody dynamic simulation software OpenSim is used to characterize and assess the trajectory produced by the proposed device. The dynamic simulation predicts the effects of walking with the device and allows the study of the interaction of the orthotic device with the human body during the conceptual and detailed design phases.

AB - The paper presents the development of a customizable lower-leg orthotic device. It consists of a single degree of freedom multi-loop linkage designed to facilitate task-specific lower extremity training for rehabilitation purposes. The device guides the knee, ankle and foot of the user along a walking trajectory obtained from motion capture of a healthy human subject. We hypothesize that a device that closely mimics natural human walking motion will be able to provide more desirable design solutions in terms of comfort, stability and safety. Multibody dynamic simulation software OpenSim is used to characterize and assess the trajectory produced by the proposed device. The dynamic simulation predicts the effects of walking with the device and allows the study of the interaction of the orthotic device with the human body during the conceptual and detailed design phases.

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Ghosh S, Robson N, McCarthy JM. Development of customized orthotics based on lower-leg anthropometric data and task. In Falcao C, Ahram T, editors, Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2017 International Conference on Advances in Human Factors and Wearable Technologies, 2017. Springer Verlag. 2018. p. 54-63. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60639-2_6

Development of customized orthotics based on lower-leg anthropometric data and task

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