Abstract: A design system generates a design for an in-ear device customized for a user. The in-ear device produces audio content for the user. The design system captures anthropometric data of the user. Using machine learning techniques, the design system determines features of an ear of the user from the anthropometric and generates a three dimensional (3D) geometry of the user's ear. A design for the in-ear device is generated based on the 3D geometry of the user's ear and includes a shell configured to fit in at least a portion of an ear canal of the user.

Abstract: Systems and methods for scalable gesture and eye-gaze tracking in virtual, augmented, and mixed reality (xR) applications are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: monitor utilization of an IHS resource; capture an image of a gesture performed by a user wearing a Head-Mounted Device (HMD) during an xR application; and generate a feature vector usable to identify the gesture based upon the image, wherein the feature vector has a maximum number of features selected based upon the IHS resource utilization.