Magic Leap had 260 patents in metaverse during Q1 2024. Magic Leap Inc’s patents filed in Q1 2024 focus on enhancing eye-tracking data sensitivity for detecting physiological conditions, detecting miscalibration in augmented reality systems, generating audio signals for virtual object collisions, matching content elements to surfaces in a 3D environment, and placing content in augmented reality systems based on physical environment information. GlobalData’s report on Magic Leap gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Magic Leap grant share with metaverse as a theme is 55% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Augmented and virtual reality display systems for oculometric assessments (Patent ID: US20240103619A1)
The patent filed by Magic Leap Inc. describes techniques for enhancing the sensitivity of an augmented or virtual reality display system to gather eye-tracking data for identifying physiological conditions like neural processes. The method involves accessing eye-tracking metrics from control and experimental populations, scaling this information based on the control population, and determining a sensitivity measure to adjust physical or operational parameters of the display system or testing protocol. Additionally, the patent outlines a computer-implemented method for comparing sensitivity measures generated for similar populations based on different display configurations or oculometric protocols to identify the most sensitive measure for the population, potentially aiding in the selection of optimal configurations or protocols.
Furthermore, the patent includes claims for a computer-readable medium storing instructions for obtaining and comparing sensitivity measures for experimental and control populations, determining the most sensitive measure, and identifying configurations or protocols that are most effective for specific populations. The system described in the patent involves one or more computers and memory devices storing instructions for performing operations related to sensitivity measure comparison and selection based on different display configurations or oculometric protocols. These techniques aim to improve the accuracy and effectiveness of eye-tracking data collection in augmented or virtual reality systems for detecting physiological conditions.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
