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Reliability of Three-dimensional Photonic Scanner Anthropometry Performed by Skilled and NaÔve Operators
Carlo Zancanaro, Chiara Milanese, Christian Lovato, Marco sandri, Andrea Giachetti
Pages - 1 - 11     |    Revised - 01-05-2015     |    Published - 31-05-2015
Volume - 5   Issue - 1    |    Publication Date - May 2015  Table of Contents
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KEYWORDS
Body Dimensions, Measurement Error, Agreement, Intra-operator, Inter-operator.
ABSTRACT
This work explored the relative and absolute reliability of three-dimensional (3D) anthropometry performed by skilled and naÔve operators using a fast, pose tolerant whole-body 3D scanner device. Upon skin landmarking by an experienced operator (skilled anthropometrist, SA), twelve subjects (six males and six females) underwent a thorough 3D anthropometric evaluation by the SA and two naÔve operators (NA). Using the same landmarks, the SA also performed traditional anthropometry measurements. All measurements were taken twice. Relative reliability was tested with the Pearsonís correlation coefficient r and the intraclass correlation coefficient (ICC); absolute reliability was tested calculating the percentage coefficient of variation (%CV), the standard error of measurement (SEM), the percentage technical error of measurement (%TEM), and paired Studentís t test. Results showed that intra-operator relative and absolute reliability was excellent for all and most 3D measurement items, respectively, independently of the operatorís skill. Inter-operator (SA vs. individual NA) relative reliability was excellent as well; inter-operator absolute reliability was not acceptable for about only 30% of measurement items. Results of this work show that 3D anthropometry has strong potential in anthropometry due to high intrinsic reliability and less need for operator training vs. traditional anthropometry.
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Professor Carlo Zancanaro
Department of Neurological & Movement Sciences University of Verona Verona, I'37134, Italy - Italy
carlo.zancanaro@univr.it
Dr. Chiara Milanese
Department of Neurological & Movement Sciences University of Verona Verona, I'37134, Italy - Italy
Dr. Christian Lovato
Department of Neurological & Movement Sciences University of Verona Verona, I'37134, Italy - Italy
Dr. Marco sandri
Department of Neurological & Movement Sciences University of Verona Verona, I'37134, Italy - Italy
Associate Professor Andrea Giachetti
VIPS lab, Department of Informatics. University of Verona - Italy