The Evolution of 3D. Under Armour have turned to 3D virtualization to significantly reduce the time and cost of product design and development, and minimize physical sampling.
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AMASS: Archive of Motion Capture as Surface Shapes. N Mahmood , N Ghorbani, NF Troje, G Pons-Moll, MJ Black.
Date: April 2019. Source: Cornell University Library – arXiv.org, Computer Vision and Pattern Recognition. Abstract: Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions limited, hampering progress on learning models of human motion. While there are many…
Evaluation of lumbar motion with fabric strain sensors: A pilot study.
Date: January 2019. Source: International Journal of Industrial Ergonomics, Volume 69, Pages 194-199. Highlights: • Flexible strain-sensors provides a potential solution for measuring lumbar motion. • The sensor-predicted lumbar angles showed good agreement to the measured body angles. • Sensor signals may have varied between subjects due to anthropometry. • Future work is needed to…
Intelligent Harvesting of High-Precision 4D Data of Human Subjects in a Personalized Digital Economy. Chris Lane.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Chris LANE, 3dMD Ltd. Session: Technical Session 10: Full Body Scanning & Processing
Pushing the Envelope in Dense-Surface 4D/Motion Capture of the Body, Head, Hands, and Feet. Chris Lane.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: Chris LANE, 3dMD Ltd. Session: Technical Session 2: 3D Body Scanning Systems I
A New Method for Finding the Shoulder Complex Rotation Centre Using 3D Body Scanning. SG Rozevink, I Kingma, D Spies et al.
Date: October 2018. Source: 9th 3DBODY.TECH Conference and Expo. October 16-17, 2018. Lugano, Switzerland, USA. Presenter: SG Rozevink Session: Technical Session 1: Medical Applications Abstract: To avoid radiation exposure to the body, the rotation centre of the shoulder complex is often assessed using the Optotrak motion capture system instead of X-ray imaging. Recently, 3D body…
Regression of cephalic index following endoscopic repair of sagittal synostosis. NA Pickersgill, GB Skolnick, SD Naidoo, MD Smyth, KB Patel.
Date: October 2018. Source: Journal of Neurosurgery: Pediatrics [Online Before Print]. Objective: Metrics used to quantify preoperative severity and postoperative outcomes for patients with sagittal synostosis include cephalic index (CI), the well-known standard, and the recently described adjusted cephalic index (aCI), which accounts for altered euryon location. This study tracks the time course of these…
Applications and limitations of using patient-specific 3D printed molds in autologous breast reconstruction. S Hummelink, AC Verhulst, TJJ Maal, DJO Ulrich.
Date: October 2018. Source: European Journal of Plastic Surgery, Volume 41, Issue 5, pp 571–576. Background: Over the last years, several techniques have been proposed to improve the outcome of autologous breast reconstruction procedures. One of these innovations describes patient-specific, three-dimensional (3D) printed breast molds for intraoperative use based on 3D stereophotogrammetry. In this article,…
Effect of surrogate design on the measured stiffness of snowboarding wrist protectors. C Adams, D James, T Senior, T Allen, N Hamilton.
Date: September 2018. Source: Sports Engineering, Volume 21, Issue 3, pp 217–225. Abstract: In snowboarding, the wrist is the most common injury site, as snowboarders often put their arms out to cushion a fall. This can result in a compressive load through the carpals coupled with wrist hyperextension, leading to ligament sprains or carpal and…
DeepWrinkles: Accurate and Realistic Clothing Modeling. Zorah Lähner, Daniel Cremers, Tony Tung.
Date: September 2018. Source: 15th European Conference on Computer Vision (ECCV), Munich, Germany. Abstract: We present a novel method to generate accurate and realistic clothing deformation from real data capture. Previous methods for realistic cloth modeling mainly rely on intensive computation of physics-based simulation (with numerous heuristic parameters), while models reconstructed from visual observations typically…