Device tracking with integrated angle-of-arrival data

Abstract

A wearable device, such as a head-wearable display (HWD), identifies a device pose based on a combination of angle-of-arrival (AOA) data generated by, for example, an ultra-wideband (UWB) positioning module, and inertial data generated by an inertial measurement unit (IMU). The HWD fuses the AOA data with the inertial data using data integration techniques such as one or more of stochastic estimation (e.g., a Kalman filter), a machine learning model, and the like, or any combination thereof. A computer device associated with the HWD can employ the fused data to identify a pose of the HWD (e.g., a six degree of freedom (6 DoF) pose) and can use the identified pose to modify virtual reality or augmented reality content implemented by the computer device, thereby providing an immersive and enjoyable experience for a user.

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