Development of Assessment System for Spine Curvature Angle Measurement

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.