Field workers are frequently exposed to hazardous vibrations, increasing the risk of Hand-Arm Vibration Syndrome (HAVS) and other long-term health problems. ISO 5349-1 provides guidelines for measuring vibration exposure. However, this standard was established in controlled conditions using high-quality accelerometers directly attached to power tool handles. This study investigates an alternative, wearable sensor-based data collection process and develops an error-minimization transfer function that derives values comparable to ISO benchmarks for safety monitoring. Experiments are performed with subjects hammer drilling into concrete while vibrations are measured using three accelerometers at different sampling frequencies. The transfer function maps vibration data across sensor positions by accounting for damping effects. The findings indicate a significant reduction in acceleration between the palm and upper arm, highlight the impact of sampling frequency on data accuracy, and enable accurate comparison of true hand-arm vibration levels with existing standard limits to allow accessible, real-time, and cost-effective HAVS prevention.