Optimization of the Static Posture Evaluation Process Through Digital Processing of Photographic Images

Area of Science:

• Biomechanics
• Medical Imaging
• Physical Therapy Technology

Background:

• Traditional posture evaluations are time-consuming and prone to subjective errors.
• Manual measurement of body segment alignments lacks precision and consistency.

Purpose of the Study:

• To assess the applicability of a 2D photogrammetry system for posture parameter measurement.
• To evaluate measurement variations using different cameras and distances.
• To introduce the "marker automatic measurement" (LAM) system for efficient posture analysis.

Main Methods:

• Utilized a 2D photogrammetry system with the LAM software for marker segmentation.
• Collected data using semi-professional, cellphone, and sports cameras at varying distances (1.80-2.50m) and heights (0.97-1.10m).
• Performed measurements on frontal, anterior, posterior, and sagittal planes with 30 volunteers.

Main Results:

• Achieved maximum absolute errors of 0.64 cm for distances, 0.70 degrees for horizontal angles, and 0.76 degrees for vertical angles.
• The LAM system evaluated all three views in under a minute, excluding marker application time.
• Demonstrated trustworthy, measurable, and repeatable results, minimizing evaluator subjectivity.

Conclusions:

• The LAM system using 2D photogrammetry provides accurate and efficient posture evaluation.
• This technology significantly reduces the time and subjectivity associated with traditional methods.
• The system is applicable across various photographic equipment and settings, offering clinical relevance.