Shape and Size Analysis and Standards

Published

October 6, 2008

Author(s)

Afzal A. Godil, Sanford P. Ressler

Abstract

The field of anthropometry is the science of measurement of the human body from which comparisons and characterizations of the size and shape of the body in different postures can take place. The size and shape of human bodies are important in many applications, such as clothing design, machine design, transportation sector, medical/healthcare field, aircraft cockpit design, space suit design for astronauts, safety, biometric, criminology, interface design for household/industrial products, etc. The Anthropometric data are some of the basic tools used for analysis and design requirements by human factors, ergonomics professionals, architects, interior designer and industrial engineers. Anthropometric data has been collected as scalar values (one-dimensional data) with a measuring tape, anthropometers, calipers, and etc. There are measurement errors because of error in location of landmarks, variation in posture, instrument error because of orientation and position location. There are also variations in measurements from one measurer to the other. The other problem with traditional measurements is that they lack shape and spatial relationship information. The work of Robinette (1992) was first to characterize the human body shape by contours. With the advancement in 3D scanning technology, it became possible to scan the entire human body in a reasonable amount of time. The first large scale use of the 3D scanning anthropometric survey was the CAESAR project. These sets of 3D anthropometric data are very effective to create very accurate 3D human body.

Citation

Chapter in Handbook of Digital Human Modeling for Applied Er

Pub Type

Others

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Keywords

CAESAR, Human database, retrieval, clustering, similarity, 3d shape, body and head shape descriptor, 3D search

Citation

Godil, A. and Ressler, S. (2008), Shape and Size Analysis and Standards, Chapter in Handbook of Digital Human Modeling for Applied Er, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51267 (Accessed April 20, 2024)