These findings advance the understanding of cutaneous mechanics in sports science and offer empirical guidelines for optimizing compression garment design, particularly for running-related compression legging applications.
The experiment aimed to compare breast motion during different activities (running, jumping rope, high knee skipping) at different intensities.
This study demonstrates the inadequacy with which radiographic assessments evaluate shoulder height asymmetry and highlights the use of 3D surface topography measurements.
This study investigates whether surface topography measurements of body volume difference and torso volume difference between maximum inhale and exhale correlate to values determined on pulmonary function tests.
Tomorrow’s digital ‘human’ creation will be based on AI learning from authentic real-world data of people recorded physically in action with the utmost 3D fidelity.
3dMD acquires dynamic 3D surface data during motion including soft tissues of the breasts to examine the complex movements.
We make a step towards automatic realistic garment design and propose Design2Cloth, a high fidelity 3D generative model trained on a real world dataset. The scans of a total of 2010 distinct subjects spanning different ages, body types and ethnicities were captured using a 3dMDbody System.
To develop sports bras that effectively limiting breast movement while minimize stress on the breast tissues, it is crucial to gain a comprehensive understanding of the breast movement and deformation patterns.
Although patients may experience severe structural deformity and range of motion limitations, these factors do not appear to be associated with decreased physical activity level.
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