Artificial neural network model for the characterization of human locomotion parameters

A. M. Ashmi; Anila Mathew; K. S. Sivanandan; S. Jayaraj

doi:10.1109/ICCISc52257.2021.9484899

Artificial neural network model for the characterization of human locomotion parameters

A. M. Ashmi
, Anila Mathew
, K. S. Sivanandan
, S. Jayaraj

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

1 Citation (Scopus)

Abstract

Artificial walking aids compensate the physical limitations experienced by handicapped persons in their routine activities and help them to reduce their dependence on others. The characteristics of healthy gait in terms of angular velocity, angular acceleration, linear velocity and linear acceleration needs to be examined for designing a walking aid. The human locomotion was analyzed using high resolution video camera for normal level walking. The angular displacement of knee and hip were recorded and an artificial neural network model was developed for estimating the human locomotion parameters. The average value based approach was employed in the developed model for linearization. The output response of the model can be used for activating joint angles in the walking aid and helped in estimating linear displacement. Also, the complexity involved in the dynamics of human gait can be reduced to a greater extent with the help of this modeling technique.

Original language	English
Title of host publication	ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665412797
DOIs	https://doi.org/10.1109/ICCISc52257.2021.9484899
Publication status	Published - 16-06-2021
Event	2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021 - Virtual, Idukki, India Duration: 16-06-2021 → 18-06-2021

Publication series

Name	ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings

Conference

Conference	2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021
Country/Territory	India
City	Virtual, Idukki
Period	16-06-21 → 18-06-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Information Systems and Management
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization
Electrical and Electronic Engineering
Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICCISc52257.2021.9484899

Cite this

Ashmi, A. M., Mathew, A., Sivanandan, K. S., & Jayaraj, S. (2021). Artificial neural network model for the characterization of human locomotion parameters. In ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings Article 9484899 (ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCISc52257.2021.9484899

Ashmi, A. M. ; Mathew, Anila ; Sivanandan, K. S. et al. / Artificial neural network model for the characterization of human locomotion parameters. ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings).

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title = "Artificial neural network model for the characterization of human locomotion parameters",

abstract = "Artificial walking aids compensate the physical limitations experienced by handicapped persons in their routine activities and help them to reduce their dependence on others. The characteristics of healthy gait in terms of angular velocity, angular acceleration, linear velocity and linear acceleration needs to be examined for designing a walking aid. The human locomotion was analyzed using high resolution video camera for normal level walking. The angular displacement of knee and hip were recorded and an artificial neural network model was developed for estimating the human locomotion parameters. The average value based approach was employed in the developed model for linearization. The output response of the model can be used for activating joint angles in the walking aid and helped in estimating linear displacement. Also, the complexity involved in the dynamics of human gait can be reduced to a greater extent with the help of this modeling technique. ",

author = "Ashmi, \{A. M.\} and Anila Mathew and Sivanandan, \{K. S.\} and S. Jayaraj",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021 ; Conference date: 16-06-2021 Through 18-06-2021",

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language = "English",

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Ashmi, AM, Mathew, A, Sivanandan, KS & Jayaraj, S 2021, Artificial neural network model for the characterization of human locomotion parameters. in ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings., 9484899, ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021, Virtual, Idukki, India, 16-06-21. https://doi.org/10.1109/ICCISc52257.2021.9484899

Artificial neural network model for the characterization of human locomotion parameters. / Ashmi, A. M.; Mathew, Anila; Sivanandan, K. S. et al.
ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. 9484899 (ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings).

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

TY - GEN

T1 - Artificial neural network model for the characterization of human locomotion parameters

AU - Ashmi, A. M.

AU - Mathew, Anila

AU - Sivanandan, K. S.

AU - Jayaraj, S.

PY - 2021/6/16

Y1 - 2021/6/16

N2 - Artificial walking aids compensate the physical limitations experienced by handicapped persons in their routine activities and help them to reduce their dependence on others. The characteristics of healthy gait in terms of angular velocity, angular acceleration, linear velocity and linear acceleration needs to be examined for designing a walking aid. The human locomotion was analyzed using high resolution video camera for normal level walking. The angular displacement of knee and hip were recorded and an artificial neural network model was developed for estimating the human locomotion parameters. The average value based approach was employed in the developed model for linearization. The output response of the model can be used for activating joint angles in the walking aid and helped in estimating linear displacement. Also, the complexity involved in the dynamics of human gait can be reduced to a greater extent with the help of this modeling technique.

AB - Artificial walking aids compensate the physical limitations experienced by handicapped persons in their routine activities and help them to reduce their dependence on others. The characteristics of healthy gait in terms of angular velocity, angular acceleration, linear velocity and linear acceleration needs to be examined for designing a walking aid. The human locomotion was analyzed using high resolution video camera for normal level walking. The angular displacement of knee and hip were recorded and an artificial neural network model was developed for estimating the human locomotion parameters. The average value based approach was employed in the developed model for linearization. The output response of the model can be used for activating joint angles in the walking aid and helped in estimating linear displacement. Also, the complexity involved in the dynamics of human gait can be reduced to a greater extent with the help of this modeling technique.

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DO - 10.1109/ICCISc52257.2021.9484899

M3 - Conference contribution

AN - SCOPUS:85113352911

T3 - ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings

BT - ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Ashmi AM, Mathew A, Sivanandan KS, Jayaraj S. Artificial neural network model for the characterization of human locomotion parameters. In ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. 9484899. (ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings). doi: 10.1109/ICCISc52257.2021.9484899

Artificial neural network model for the characterization of human locomotion parameters

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