Development of Assessment System for Spine Curvature Angle Measurement
Pages 397 - 402
Abstract
People of the modern times are becoming more prone to have spinal curvature disorder due to the improper habits especially those that stays at desk more often. To diagnose this disorder, method such as radiography and other conventional method are used. Conventional method such as goniometry require human skills can be time consuming which eventually lead to exhaustion of logistic. These problems can be solved by using 3D photogrammetry method. This research uses Kinect obtain the 3D human body model and find the optimum parameters to capture the 3D model for body posture screening. The most optimum parameters that set to capture the 3D model of the subject is at 1.3 m distance between subject and camera, 80 lux and at chest level. The 3D model reconstructed from these parameters shows 100% accuracy of the point needed to be assessed. This papers highlight the validation of optimum parameters that will affect the performance of capturing 3D human reconstructed model for measuring the spinal curvature.
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Index Terms
- Development of Assessment System for Spine Curvature Angle Measurement
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Published In
February 2019
611 pages
ISBN:9781450365734
DOI:10.1145/3316615
Copyright © 2019 ACM.
© 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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- University of New Brunswick: University of New Brunswick
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Published: 19 February 2019
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ICSCA '19
ICSCA '19: 2019 8th International Conference on Software and Computer Applications
February 19 - 21, 2019
Penang, Malaysia
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