Abstract: Embodiments of the present disclosure are related to training one or more of machine learning algorithms in a virtual reality environment for error detection and correction and/or for employing one or more trained machine learning models in an augmented reality environment to detect and/or correct user errors associated the performance of one or more tasks.

Abstract: Systems and methods for a mixed reality user interface are provided. The systems and methods relate to equipment and an interface that a user can employ to interact with a real or a virtual environment. The equipment includes a head device, a torso device, a waist device, and a hands device(s). The interface includes user interface elements, referred to as “widgets”, that are attachable and removable from a grid of user interface space locations, referred to as “magnets”. The user is able to use the widgets to interact with the virtual environment.

Abstract: Operations carried out according to a method and operations carried out by a system including at least one processor and memory configured to store instructions include following operations. Those operations include: obtaining real world image data using one or more image data capturing devices positioned at a real world site; obtaining real world non-image data using one or more sensors positioned at the real world site; creating a scene model based on the obtained real world image data; integrating the obtained real world non-image data with the created scene model; carrying out an object recognition process to identify one or more objects included in the scene model; and rendering the scene model to create a VR scene in which one or more users are immersed using one or more VR playback devices.

Abstract: Systems and methods for a mixed reality user interface are provided. The systems and methods relate to equipment and an interface that a user can employ for scene building in a virtual reality device. The system includes a head device worn by the user, the head device displaying a virtual environment for the user, and a processor in communication with the head device. The processor is configured to obtain real world data from a real-world location and store the real world data in an element datastore. The processor then generates a scene model using the element datastore. Further, the processor receives element augmentation data from an element augmentation device and filters a scene from the scene model to generate an updated scene for the virtual reality device using the element augmentation data.