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Computer Vision Predicts Force During Lifting

INTRODUCTION Heavy and repetitive lifting tasks performed in the workplace have caused many injuries across various industries according to the U.S. Bureau of Labor Statistics [1]. Current techniques for evaluating the lifting risk, such as the NIOSH Lifting Equation [2], require practitioners to observe and measure specific task variables (e.g., lifting weight, vertical location) for determining the risk. Among all the required task variables, the lifting weight remains the most challenging for practitioners to observe and estimate. Existing methods of measuring the lifting weight have limitations in that they require practitioners to intervene with force gauges or utilize sensors (e.g., IMU [3, 4]) that are expensive and require a time-consuming setup process. These limitations limited their practicability; thus, an automated, low-cost, and convenient tool is needed to assist the practitioners in estimating the lifting weight and ensure occupational safety and health.