Application of massive 3D head and facial scan datasets in ergonomic head-product design

Journal Article (2016)
Authors

W Lee (TU Delft - Human Factors)

Xiaopeng Yang (Pohang University of Science and Technology)

Hayoung Jung (Pohang University of Science and Technology)

Heecheon You (Pohang University of Science and Technology)

L. Goto (TU Delft - Human Factors)

J. F.M. Molenbroek (TU Delft - Human Factors)

R.H.M. Goossens (Industrial Design)

Research Group
Human Factors
To reference this document use:
https://doi.org/10.1504/IJDH.2016.084592
More Info
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Publication Year
2016
Language
English
Research Group
Human Factors
Issue number
4
Volume number
1
Pages (from-to)
344-360
DOI:
https://doi.org/10.1504/IJDH.2016.084592

Abstract

Abstract: 3D human body scan datasets have been collected and various techniques of post-processing, size and shape analysis, and applications in product design have been introduced. This paper is aimed to introduce techniques and cases of head-product design studies based on massive 3D head scan datasets. 3D scan datasets of the head, face and ear were collected and post-processed by editing, landmarking, alignment and measurement. For useful application of the 3D head scan datasets in head-product designs, we applied several analysis techniques such as development of a sizing system, selection of representative models, analysis of shape variation based on template-registered 3D scans and analysis of virtual fit. This paper can help understand an overview of techniques regarding massive 3D scan datasets and their applications to ergonomic product design.

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