Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105108
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Title: A growth study of Chinese ears using 3D scanning
Authors: Fu, F 
Luximon, Y 
Shah, P 
Issue Date: 2018
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2018, v. 10917, p. 54-63
Abstract: Ears are important organs considering facial aesthetics and auditory function. Anthropometric data of ears can help in understanding the morphology, which can further be applied in medical and ergonomic research. The purpose of this study is to evaluate the variation of four selected ear dimensions along with other parameters such as gender, age and ear symmetry with the use of 3D scanned data. Sixty Chinese children (30 males and 30 females) aged 5 to 13 years were invited for the study. They were divided into three groups based on the age. Four dimensions (ear length, ear width, width from tragus to antihelix, and flipping angle from the base of the head to the helix) were measured for both ears from the point clouds data acquired from the 3D scans. Statistical analyses were performed to measure the growth and characteristics of ears’ morphology. These results provide a better understanding of variation in ear morphology based on different demographic parameters. In addition, this research would assist in providing some basic 3D anthropometric data of ears for Chinese children, which can be helpful in deciding sizing, and grading parameters of ear related products for children.
Keywords: 3D scanning
Anthropometry
Ear morphology
Ergonomics
Growth study
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 978-3-319-91396-4 (Softcover)
978-3-319-91397-1 (eBook)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-91397-1_5
Description: 9th International Conference on Digital Human Modeling, DHM 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018
Rights: © Springer International Publishing AG, part of Springer Nature 2018
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-91397-1_5.
Appears in Collections:Conference Paper

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