Fractional Non-Fungible Token for Game Related Digital Assets

    公开(公告)号:US20230138023A1

    公开(公告)日:2023-05-04

    申请号:US17514452

    申请日:2021-10-29

    Abstract: Methods and systems are provided for fractionalizing non-fungible token (NFT) shares for digital game assets. The method includes generating a digital asset depicting a gaming event associated with a game. The method includes obtaining a non-fungible token (NFT) for the digital asset. The NFT is stored in a block chain with a reference to a storage location of said digital asset. The obtaining of the NFT includes instructions or parameters for fractionalizing said NFT. The fractionalizing of the NFT creates a set of shares of the NFT. The method includes assigning a share the NFT to a user of the online gaming system. The share is exchangeable among a community of users. The method includes tracking use of each of the set of shares of the NFT and applying a value indicator to each share by the online gaming system. The value indicator is indicative of a level of use of the share within the online gaming system.

    LOCAL ENVIRONMENT SCANNING TO CHARACTERIZE PHYSICAL ENVIRONMENT FOR USE IN VR/AR

    公开(公告)号:US20230083302A1

    公开(公告)日:2023-03-16

    申请号:US17472653

    申请日:2021-09-12

    Abstract: A user’s environment is scanned and an augmented reality game such as a treasure is set up based on the scan. The user needs to use a phone to uncover clues in a game environment that is customized to user’s own personal real-world environment, which is discovered using SLAM or GPS so that a map of furniture can be built. The game hides a virtual object behind a virtualized image of the real-world furniture. Machine learning may be used to train a model with common objects and where interesting hidden spaces could exist. Given the user’s inputted data, real world physical room data and objects are used to determine a likely location to hide a virtual object.

    LOCAL ENVIRONMENT SCANNING TO CHARACTERIZE PHYSICAL ENVIRONMENT FOR USE IN VR/AR

    公开(公告)号:US20250083045A1

    公开(公告)日:2025-03-13

    申请号:US18813875

    申请日:2024-08-23

    Abstract: A user's environment is scanned and an augmented reality game such as a treasure is set up based on the scan. The user needs to use a phone to uncover clues in a game environment that is customized to user's own personal real-world environment, which is discovered using SLAM or GPS so that a map of furniture can be built. The game hides a virtual object behind a virtualized image of the real-world furniture. Machine learning may be used to train a model with common objects and where interesting hidden spaces could exist. Given the user's inputted data, real world physical room data and objects are used to determine a likely location to hide a virtual object.

    Local environment scanning to characterize physical environment for use in VR/AR

    公开(公告)号:US12179106B2

    公开(公告)日:2024-12-31

    申请号:US17472653

    申请日:2021-09-12

    Abstract: A user's environment is scanned and an augmented reality game such as a treasure is set up based on the scan. The user needs to use a phone to uncover clues in a game environment that is customized to user's own personal real-world environment, which is discovered using SLAM or GPS so that a map of furniture can be built. The game hides a virtual object behind a virtualized image of the real-world furniture. Machine learning may be used to train a model with common objects and where interesting hidden spaces could exist. Given the user's inputted data, real world physical room data and objects are used to determine a likely location to hide a virtual object.

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