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An open-source low-cost wireless sensor system for acquisition of human movement data
Miguel A Landa-Jiménez1, Patricia González-Gaspar2, Fernando M Montes-González1
1Universidad Veracruzana, Instituto de Investigación en Inteligencia Artificial, Campus Sur, Calle Paseo Lote II, Sección Segunda, 112, Nuevo Xalapa, Buzón, 91097 Xalapa, Veracruz, México.
This study introduces an open-source, low-cost wireless sensor system for human movement analysis using Inertial Measurement Units (IMUs). The system effectively captures quantifiable gait data, offering a practical alternative for research and clinical settings.
Area of Science:
- Biomechanics
- Wearable Technology
- Sensor Systems
Background:
- Human movement analysis is crucial across diverse fields like medicine, robotics, and sports.
- Traditional motion capture systems often require high-resource environments and are thus limited in accessibility.
- Wearable devices offer a solution for monitoring human movement outside controlled settings.
Purpose of the Study:
- To develop and present an open-source, low-cost wireless sensor system for acquiring human movement data.
- To demonstrate the system's capability in capturing quantifiable movement metrics.
- To provide an accessible alternative to existing high-cost systems for research and clinical applications.
Main Methods:
- The system comprises a central server for data storage and multiple wearable sensor modules.
- Each module utilizes Inertial Measurement Units (IMUs) to collect movement data.
- Data is transmitted wirelessly from the sensor modules to the server.
Main Results:
- The system successfully acquired quantifiable data during a human gait analysis.
- Proof-of-concept demonstrated the system's efficacy in capturing movement characteristics.
- The collected data validated the system's ability to measure human movement.
Conclusions:
- The developed wireless sensor system is a low-cost, open-source solution for human movement data acquisition.
- Its design facilitates monitoring outside traditional laboratory or clinical environments.
- The system presents a viable and accessible alternative for both research and clinical applications in human movement analysis.
