Systems and methods of classifying movements for virtual reality activities

Abstract

Systems and methods are provided for classifying movements, such as activities of daily living (ADLs) and other essential activities, using a virtual reality system. Generally, a VR system may receive input from a plurality of sensors, generate a movement signature based on the input, determine a movement classification based on the movement signature, and then provide the movement classification. The VR system may generate a movement signature based on charting position data, rotation data, and/or acceleration data, from one or more of the plurality of sensors. In some embodiments, movement classification may be performed by, e.g., using a model trained from movement data stored in a movement library. In some embodiments, VR activities may be identified and selected based on movements or micromovements desired for a patient to practice motions in ADLs. In some embodiments, potentially problematic movements may be identified based on performance of VR activities.

Dependencies are inferred from the claim text.