Magic Leap. has been granted a patent for a wearable system that regulates the movement speed of virtual objects using an S-curve profile. This technology enhances eye-tracking calibration by ensuring comfortable viewing and high accuracy in tracking eye positions as virtual targets move across the user’s field of view. GlobalData’s report on Magic Leap gives a 360-degree view of the company including its patenting strategy. Buy the report here.
According to GlobalData’s company profile on Magic Leap, Smart glasses was a key innovation area identified from patents. Magic Leap's grant share as of July 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Wearable system for eye tracking calibration using s-curve movement
The patent US12072558B2 describes a wearable system designed for eye tracking calibration, which includes a display for presenting an eye calibration target to the user. The system features a hardware processor that communicates with a non-transitory memory and the display system. The processor is programmed to display the calibration target at a designated location, identify a second location, and calculate the distance and time required to move the target between these locations. It generates a target movement speed curve, specifically an S-curve, to control the movement of the calibration target over the determined time. Additionally, the system can capture eye images when the user's gaze aligns with the target, storing these images for further analysis.
Further claims detail the system's ability to assess diopter distances and focal planes, which are critical for determining the total time for moving virtual objects. The processor can calculate tracking and focus times for each eye, allowing for precise adjustments based on the user's eye movements. The system also incorporates an image capture device to monitor the user's gaze and ensure alignment with the calibration target. By utilizing these measurements, the wearable system can adjust the speed of virtual object movement according to the user's visual capabilities, enhancing the calibration process for eye tracking applications.
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