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A Parametric Model of Shoulder Articulation for Virtual Assessment of Space Suit FitSuboptimal suit fit is a known risk factor for crewmember shoulder injury. Suit fit assessment is however prohibitively time consuming and cannot be generalized across wide variations of body shapes and poses. In this work, we have developed a new design tool based on the statistical analysis of body shape scans. This tool is aimed at predicting the skin deformation and shape variations for any body size and shoulder pose for a target population. This new process, when incorporated with CAD software, will enable virtual suit fit assessments, predictively quantifying the contact volume, and clearance between the suit and body surface at reduced time and cost.
Document ID
Document Type
Kim, K. Han
(Leidos, Inc. Houston, TX, United States)
Young, Karen S.
(Leidos, Inc. Houston, TX, United States)
Bernal, Yaritza
(GeoLogics Corp. Houston, TX, United States)
Boppana, Abhishektha
(National Space Biomedical Research Inst. (NSBRI) Houston, TX, United States)
Vu, Linh Q.
(GeoLogics Corp. Houston, TX, United States)
Benson, Elizabeth A.
(MEI Technologies, Inc. Houston, TX, United States)
Jarvis, Sarah
(MEI Technologies, Inc. Houston, TX, United States)
Rajulu, Sudhakar L.
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
October 28, 2016
Publication Date
November 30, 2016
Subject Category
Man/System Technology And Life Support
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
Meeting Information
Meeting: International Conference on 3D Body Scanning
Location: Lugano
Country: Switzerland
Start Date: November 30, 2016
End Date: December 1, 2016
Distribution Limits
Public Use Permitted.
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