A Wrist Brace with Integrated Piezoelectric Sensors for Real-Time Biomechanical Monitoring in Weightlifting
Sofia Garcia, Ethan Ortega, Mohammad Alghamaz, Alwathiqbellah Ibrahim, En-Tze Chong
TL;DR
A self-powered wrist brace with piezoelectric sensors can monitor wrist movements during weightlifting, offering real-time biomechanical feedback.
Contribution
A novel self-powered wrist brace using piezoelectric sensors for real-time biomechanical monitoring during weightlifting is developed and validated.
Findings
The wrist brace showed strong voltage responses correlated with wrist angle and load, with R2 values up to 0.994.
A cantilever beam model accurately predicted voltage outputs based on mechanical deformation theory.
The system demonstrated consistent sensitivity to both angular displacement and applied loading conditions.
Abstract
This study presents a self-powered smart wrist brace integrated with a piezoelectric sensor for real-time biomechanical monitoring during weightlifting activities. The system was designed to quantify wrist flexion across multiple loading conditions (0 kg, 0.5 kg, and 1.0 kg), leveraging mechanical strain-induced voltage generation to capture angular displacement. A flexible PVDF film was embedded within a custom-fitted wrist brace and tested on male and female participants performing controlled wrist flexion. The resulting voltage signals were analyzed to extract root-mean-square (RMS) outputs, calibration curves, and sensitivity metrics. To interpret the experimental results analytically, a lumped-parameter cantilever beam model was developed, linking wrist flexion angles to piezoelectric voltage output based on mechanical deformation theory. The model assumed a linear relationship…
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Taxonomy
TopicsAdvanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Non-Invasive Vital Sign Monitoring