Affiliations: [a] Faculty of Engineering, University of Porto, Porto, Portugal | [b] INESCTEC, Porto, Portugal | [c] LABIOMEP, Faculty of Sport Sciences, University of Porto, Porto, Portugal | [d] Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal | [e] CIFI2D, Faculty of Sport Sciences, University of Porto, Porto, Portugal | [f] LABIOMEP, UISPA/INEGI/LAETA, Faculty of Engineering, University of Porto, Porto, Portugal | [g] Medical Imaging Research Unit, Faculty of Computing, Engineering and Science, University of South Wales, Cardiff, UK
Correspondence:
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Corresponding author: Eduardo M. Pereira, INESCTEC, Campus da FEUP, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal. E-mail:ejmp@inesctec.pt
Abstract: Anthropometry has been widely used in different fields,
providing relevant information for medicine, ergonomics and biometric
applications. However, the existent solutions present marked disadvantages,
reducing the employment of this type of evaluation. Studies have been
conducted in order to easily determine anthropometric measures considering
data provided by low-cost sensors, such as the Microsoft Kinect. In this
work, a methodology is proposed and implemented for estimating
anthropometric measures considering the information acquired with this
sensor. The measures obtained with this method were compared with the ones
from a validation system, Qualisys. Comparing the relative errors determined
with state-of-art references, for some of the estimated measures, lower
errors were verified and a more complete characterization of the whole body
structure was achieved.
