Anthropometry and Scan: A Computational Exploration on Measuring and Imaging

Giuseppe Riva, Pietro Cipresso, Cosimo Tuena, Michelle Toti, Michelle Semonella, Elisa Pedroli

Risultato della ricerca: Contributo in libroChapter

Abstract

New developments in the field of technology have led to the use of scanners in order to obtain anthropometric measurements. As a matter of fact, anthropometry finds its roots in the seventeenth century, currently its usage has been strengthened by the employment of scanners. 3D whole-body scanners allow to collect reliable data and to visualise the exact human body shape. Thus, this paper aims at exploring the combination of these topics, anthropometry and scan, through an innovative tool, the scientometrics analysis. This technique provides a clear overview of the existing literature in the field investigated. In our study we examined 1’652 papers from the Web of Science Core Collection database. Network analyses have shown an interesting scenario, emphasising the research evolution over time. Specifically, endocrinology and metabolism emerged as the most active publication domains. Accordingly, the two most high-impact journals and the most cited paper regard nutrition issues and metabolic risk factors respectively. However, the predominance of the USA for number of publications has not been confirmed by the institution’s analysis, which has shown the University of Copenhagen as the most influential one. On the other hand, Yumei Zhang currently appears as the main authority in the field and Leslie G. Farkas as the most influential author over the entire time span analysed. The relevant implications of the findings are discussed in terms of future research lines.
Lingua originaleEnglish
Titolo della pubblicazione ospitena
Pagine102-116
Numero di pagine15
Volume288
DOI
Stato di pubblicazionePubblicato - 2019

Serie di pubblicazioni

NomeLECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING

Keywords

  • Anthropometry

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