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 proceedingConference 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 languageEnglish
Title of host publicationICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665412797
DOIs
Publication statusPublished - 16-06-2021
Event2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021 - Virtual, Idukki, India
Duration: 16-06-202118-06-2021

Publication series

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

Conference

Conference2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021
Country/TerritoryIndia
CityVirtual, Idukki
Period16-06-2118-06-21

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

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