In this study, we evaluated the feasibility of using the virtual fit pressure map in a clothing-specific CAD program to predict pressures applied by sports compression garments by analyzing pressure prediction accuracy and process practicability. In wearer trials with whole-body compression sportswear, we measured in vivo pressures and compared them to virtual pressures recorded from the virtual fit pressure maps of the garments fitted to 13 participants’ body scan avatars. No clear correlations between virtual and in vivo pressures were identified and problems in the virtual fit process became apparent. The CAD software currently lacks a link to physical fabric, seam and component properties, which inhibits its use for predictions in new product development. By considering all simulation settings and assessing the numerical pressure prediction capability of a clothing-specific CAD program, this research provides a step forward in assessing the limitations of virtual fit for technical product development.
This paper describes motion capture work applied to ballet gestures. A wireless gyroscopic sensor based system is used to record the movements of ballet dancers in order to establish a suitable workflow for extreme human movements and to investigate if such equipment is capable of detecting misalignments in ankle position. Results show that subtle variations in joint rotation can be clearly measured and could be used to develop fault detection and isolation possibilities for injury prevention and improved performance. The limits of the current techniques and some improvements are discussed, for real-time performance feedback.
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