Automated Anthropometric Analysis for Personalized Workspace Optimisation

Abstract

This paper presents a novel pipeline for automated anthropometric analysis aimed at personalized workspace optimization. We leverage MediaPipe to extract eight key body dimensions from individual images: Sitting Height, Sitting Eye Height, Elbow to Fingertip, Elbow to Seat Height, Knee to Foot Length, Back to Elbow Length, Shoulder Width, and Hip Width. We constructed a dataset of calibrated images to train and validate our system. The developed pipeline achieves 85% accuracy in extracting these measurements. Subsequently, we generate a 3D model of the user's workspace in Blender, providing dimensional feedback and visual ergonomic assessments. This approach offers a practical and efficient solution for enhancing user comfort and productivity by enabling personalized workspace design.

Keywords: Ergonomics, Blender, 3D modelling, Anthropometry

DOI: 10.54941/ahfe1006173