Abstract
SOOMA is a software tool developed by Laboratory of Ergonomics (LABER) at Instituto Nacional de Tecnologia (INT) of Brazil for use in anthropometric characterization of the human body. Its main objective is to automate the location of body landmarks and calculation of anthropometric measurements based on digital human models generated by 3D laser scanning [1, 2]. SOOMA’s modular design allows for continuous development of algorithms for landmarks location and anthropometric measurements calculation independent of the graphical user interface responsible for controlling user interaction. SOOMA first version was presented at IEA 2018 [3]. Currently, its development is focused on automated cleaning of digital human model; performance gains in landmark location; improvements on body volume, surface area and cross-section area calculations; and quality assurance of results. This paper presents the development and implementation of an algorithm for automated digital model cleaning.
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