Creating Custom Human Avatars for Ergonomic Analysis using Depth Cameras

Abstract

Ergonomic analysis of industrial tasks is often conducted through the use of human figure modeling software, such as the Jack software from Siemens. Typically, figures are scaled by inputting overall anthropometric dimensions, such as stature, body weight, and erect sitting height. This paper presents a method for rapidly generating a figure that matches the body dimensions and shape of an individual. A system with two Microsoft Kinect depth cameras is used to gather shape data. A statistical body shape model (SBSM) generated from analysis of over 250 men and women is used to fit the data. The output of the shape fitting, expressed as a set of 20 principal component scores, is input to the same male or female SBSM implemented in the Jack software. The result is a figure model that closely matches both the size and shape of the scanned individual. This methodology will be useful for a range of applications for which having a customized manikin is advantageous.

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