VIBRI-SAFE: Quantification of Motorcycle Rider Whole-Body Vibration Exposure Using a Low-Cost IoT Monitoring System with ISO 2631-1 Normalization
DOI:
https://doi.org/10.56532/mjsat.v6i1.727Keywords:
Motorcycle riders, Musculoskeletal system, Vibration monitoring, Arduino Uno, Ergonomic safetyAbstract
Motorcycle riders are continuously exposed to mechanical vibrations from engines and uneven roads, which can lead to long-term musculoskeletal disorders (MSDs) affecting the spine, shoulders, and limbs. Current safety systems focus on accident prevention, while chronic vibration exposure remains largely unaddressed. This study presents VIBRI-SAFE, a low-cost vibration monitoring system using an Arduino Uno MPU6050 with multi-axis sensors to capture real-time vibration intensity and rider posture stability. Weighted Root Mean Squared (RMS), Vibration Dosage Value (VDV), and Static compression dose (Sed) for the spine were calculated and normalized to an 8-hour ISO reference period, which allowed short rides to be compared with long-term occupational thresholds. Results indicate higher vibrations in motorcycles with older suspensions and prolonged exposures, with RMS variability reflecting mechanical instability. VIBRI-SAFE shifts motorcycle safety from reactive crash protection to proactive physiological monitoring through combining IoT and ergonomic principles. Its affordability and diagnostic potential support integrating human health analytics into sustainable mobility.
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