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Technical Document

To read this document you can either jump straight to the chapters you are most interested in or you can follow the [Next Chapter] link at the bottom of the pages. You can return to this index at any time by clicking on the [Chapter Index] link also at the bottom of the pages. Please remember that you may find it easier to read the information if you print it out first.

This Page:    Intro

Chapter 1:    Populations
                           1.1    Adult Data
                           1.2    Child Data

Chapter 3:    Age Groups

Chapter 3:    Dimensions

Chapter 4:    Principles of Estimation

Chapter 5:    Estimation Methods
                           1.1    Adjusting for weight
                           1.2    Making fatty dimensions accurate
                           1.3    Adjusting for age

Introduction

Data have been gathered from a large number of sources, listed in the Bibliography, in the PeopleSize Help files. Because the data in PeopleSize are recaculated to update them and make them more widely applicable, generally using several sources per dimension, (see Estimation Methods ), the appropriate external reference for PeopleSize data which you quote is "PeopleSize software, Open Ergonomics Ltd".

Measurements have been described in general accordance with the techniques and landmarks described by Damon et al (The Human Body in Equipment Design, 1966), Lohman et al (Anthropometric Standardisation Reference Manual, 1988), and the reports of the HUMAG research group.

The basic data are of unshod and lightly clothed people. Where subjects were shod during measurement, the actual shoe height was subtracted if given; if not, 25 mm was subtracted for male subjects and 29mm for female subjects.

We have worked hard to make the data in PeopleSize accurate and reliable. However it is impossible to prove a zero error rate, and you should not commit to a design without testing it in a realistic situation. This is also advised because the rigid nature of static anthropometry does not always match the dynamic movements of people in the real world.

We gratefully acknowledge the work of all those who have collected data, and specified techniques and equipment.

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