NIOSH’s “Respirator Fit Evaluation” Challenge… A Phase 1 Winner. S Jayaraman, S Park.

Their innovation device is customized to the individual’s facial profile, continuously monitors the fit unobtrusively, and when there is a change in the fit during use, which could lead to a faceseal leakage, alerts the user through an App on the smartphone thereby ensuring the user’s safety.

From Healthcare to Training, Wearing, and Populating the Metaverse. C Lane, K Duncan.

How 3dMD provides an efficient image capture workflow tool for XR/VR/AR, Computer Vision, AI, Machine Learning, and Human Factors teams to personalize natural human actions, behaviors, gestures, nuances, etc. into digital media interpretation input that will persistently train, wear, and populate the metaverse.

Putting Users First – AR Design for Wearability. D Carson.

Within the global population we find many differences in the factors that drive fit & comfort in AR, which presents a substantial challenge to design. Danny will discuss several aspects of human anthropometry, along with the concepts of Fit Mapping and Fit Testing as they apply to designing wearable devices for a global audience.

Statistical Shape and Pose Model of the Forearm for Custom Splint Design. F Danckaers, J Van Houtte, BG Booth, F Verstreken, J Sijbers.

A 3D scan database of 200 healthy subjects (100 men and 100 women) performing hand motions was gathered using a 3dMD scanner. All subjects were scanned performing a movement at a frame-rate of 7.5 fps, resulting in ±100 scans per subject. Based on those scans, a new SSM was built with the help of the artificial SSM.