Anthropometry measurements of farm workers using computer vision-based multiview stereo-image sensing.
Lohan SK, K K, Lohan N, Singh H
Summary
PubMedResearchers developed a computer vision system using stereo cameras to automatically measure farm workers' body dimensions for ergonomic assessment, offering a faster alternative to manual measurements.
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Key Findings
System used Intel RealSense D435i stereo camera with OpenCV and MediaPipe to capture measurements from three angles
Tested on 32 participants (16 male, 16 female) with manual anthropometry as reference standard
Measured four key dimensions: stature, vertical reach, trochanteric height, and chest circumference
Original Abstract
BackgroundPrecise anthropometric data are vital for ergonomic assessment and farm machinery design. Manual methods, although dependable, are labor-intensive and susceptible to error.ObjectiveThis study aimed to develop and validate a computer vision (CV) based non-contact system for anthropometric measurements, focusing on stature, vertical reach, trochanteric height, and chest circumference.MethodsAn Intel RealSense D435i stereo camera with OpenCV, mediapipe captured images from three angles (front, diagonal, side) at 2.5-3.5 m. Thirty-two participants (16 male, 16 female) were measured, with manual anthropometry as reference. Accuracy was assessed using mean absolute difference (MAD) and mean absolute percentage error (MAPE), while reliability was examined via intraclass correlation coefficient (ICC,
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