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Wearable Electronic Device for Comparative Evaluation of Human Gait in Controlled and Standardized Environments

Research output: Contribution to journalConference articlepeer-review

Abstract

This project presents the development of a portable system designed to analyze gait patterns in healthy individuals, simulating alterations characteristic of knee osteoarthritis through controlled movements. The project responds to the need for accessible tools for biomechanical analysis in non-clinical settings, overcoming the mobility and cost limitations associated with conventional technologies. Real-time data are collected and processed using motion sensors and an integrated system to identify biomechanical differences between standardized gait patterns and pain simulations. The methodology was based on VDI 2206, following a spiral design approach to wearable device development. Progressive iterations were implemented with validations in controlled and standardized environments, allowing comparative evaluation of human gait using integrated sensors and biomechanical data processing techniques. The results highlight the system's effectiveness in capturing variations in tilt angles and validating altered gait patterns, with potential applications in rehabilitation and early diagnosis. This system represents an innovative, practical, and cost-effective solution to study human gait and improve the quality of life of people affected by biomechanical disorders.

Original languageAmerican English
JournalProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Issue number2025
DOIs
StateIndexed - 2025
Externally publishedYes
Event23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025 - Virtual, Online
Duration: 16 Jul 202518 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Butterworth filter
  • Human gait
  • IMU sensor
  • VDI 2206 methodology
  • Wearable device

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