A Framework for Analyzing the Whole Body Surface Area from a Single View.

ABSTRACT: We present a virtual reality (VR) framework for the analysis of whole human body surface area. Usual methods for determining the whole body surface area (WBSA) are based on well known formulae, characterized by large errors when the subject is obese, or belongs to certain subgroups. For these situations, we believe that a computer vision approach can overcome these problems and provide a better estimate of this important body indicator. Unfortunately, using machine learning techniques to design a computer vision system able to provide a new body indicator that goes beyond the use of only body weight and height, entails a long and expensive data acquisition process. A more viable solution is to use a dataset composed of virtual subjects. Generating a virtual dataset allowed us to build a po

SUBMITTER: Piccirilli M 

PROVIDER: S-EPMC5207503 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature