Abstract: System and method for using an artificial intelligence (AI) system of a head-wearable device to process image data using eye-tracking data are disclosed. An example method includes, in accordance with an indication that first data captured by the head-wearable device satisfies an AI assistant trigger condition, initiating the AI assistant and capturing, by the head-wearable device, second data and field-of-view (FOV) image data. The example method includes determining, by the AI assistant, a user query and contextual information based on the second data and the FOV image data. The example method includes detecting, based on the user query and the contextual information, a portion of the FOV image data including an object of interest; and performing a context-based command on the portion of the FOV image data including the object of interest. The context-based command is based on one or more of the contextual information and the user query.

Abstract: Systems and methods of calibrating a head-wearable device are disclosed. An example method includes, while a position of an artificial-reality glasses relative to a storage device satisfies position criteria, causing the artificial-reality glasses to display calibration patterns using a lens assemblies of the artificial-reality glasses, and capturing, using an imaging device communicatively coupled to the storage device and associated with the lens assemblies, calibration images of the calibration patterns displayed using the lens assemblies of the artificial-reality glasses. The method further includes, in accordance with a determination, based on the calibration images, that an amount of disparity between the respective calibration patterns displayed using the lens assemblies satisfies calibration criteria, causing the artificial-reality glasses to apply, based on the amount of disparity, a disparity correction to one or more of the lens assemblies.

Abstract: A method for calibrating a device is described. The device accesses magnetometer data of a magnetometer sensor in the device, and accelerometer data of an accelerometer sensor in the device. The device determines a first position and a second position of the device based on the magnetometer data and the accelerometer data. The device determines a first magnetic vector based on the magnetometer data at the first position of the device, and a second magnetic vector based on the magnetometer data at the second position of the device. The device then assigns the first magnetic vector to the first position of the device, and the second magnetic vector to the second position of the device.

Abstract: A method for calibrating a device is described. The device accesses magnetometer data of a magnetometer sensor in the device, and accelerometer data of an accelerometer sensor in the device. The device determines a first position and a second position of the device based on the magnetometer data and the accelerometer data. The device determines a first magnetic vector based on the magnetometer data at the first position of the device, and a second magnetic vector based on the magnetometer data at the second position of the device. The device then assigns the first magnetic vector to the first position of the device, and the second magnetic vector to the second position of the device.