TY - JOUR
T1 - Wearable Electronic Device for Comparative Evaluation of Human Gait in Controlled and Standardized Environments
AU - Ortiz-Palomino, David
AU - Povis-Reyes, Brandon
AU - Huamanchahua, Deyby
N1 - Publisher Copyright:
© 2025 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Butterworth filter
KW - Human gait
KW - IMU sensor
KW - VDI 2206 methodology
KW - Wearable device
UR - https://www.scopus.com/pages/publications/105019313005
U2 - 10.18687/LACCEI2025.1.1.1598
DO - 10.18687/LACCEI2025.1.1.1598
M3 - Conference article
AN - SCOPUS:105019313005
SN - 2414-6390
JO - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
JF - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
IS - 2025
T2 - 23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025
Y2 - 16 July 2025 through 18 July 2025
ER -