Magic Leap had five patents in big data during Q1 2024. Magic Leap Inc’s patents filed in Q1 2024 focus on imaging and visualization systems that determine and act upon the intent of a group of users in a shared space. The systems use multiple sensors with different input modalities to identify objectives and intents of users in a shared virtual space, enabling personalized experiences based on user actions. Additionally, the patents describe methods and apparatus for users to interface with virtual or augmented reality environments through a computing network, allowing multiple users to simultaneously interact with digital worlds and objects within them using user devices. GlobalData’s report on Magic Leap gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Magic Leap grant share with big data as a theme is 60% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Transmodal input fusion for multi-user group intent processing in virtual environments (Patent ID: US20240004464A1)

The patent filed by Magic Leap Inc. describes imaging and visualization systems that determine and act upon the intent of a group of users in a shared space. The method involves identifying objectives for each user in a group, determining user intent based on inputs from multiple sensors, and generating output data based on these objectives and intents. The output data is then provided to each user's device for presentation. The system can involve wearable devices, gaze data, gesture data, and direction data to determine user intent accurately.

The patent claims detail a method performed by data processing apparatus to identify objectives for users, determine user intent, and generate output data based on these factors. The system can involve tasks or subject objects as objectives, with a focus on targets that users are looking at. Wearable devices play a crucial role in determining user intent through gaze, gesture, and direction data. The output data can include heat maps indicating user performance, and actions can be taken based on this data, such as reassigning users to different objectives. Overall, the system aims to enhance user interaction and collaboration in shared virtual spaces through accurate determination and utilization of user intent.

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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.