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 language | American English |
|---|---|
| Journal | Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology |
| Issue number | 2025 |
| DOIs | |
| State | Indexed - 2025 |
| Externally published | Yes |
| Event | 23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025 - Virtual, Online Duration: 16 Jul 2025 → 18 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)
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SDG 3 Good Health and Well-being
Keywords
- Butterworth filter
- Human gait
- IMU sensor
- VDI 2206 methodology
- Wearable device
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