Feature similarity scoring of physical environment for augmented reality gameplay

    公开(公告)号:US11969650B2

    公开(公告)日:2024-04-30

    申请号:US17530329

    申请日:2021-11-18

    Inventor: Todd Tokubo

    Abstract: Methods and systems are provided for processing feature similarity for a real-world space used for augmented reality (AR) gameplay is disclosed. The method includes receiving captured sensor data from the real-world space used by a user for said AR gameplay of a game. The sensor data provides data to identify characteristics of physical objects in the real-world space. The method includes generating a user space score using the characteristics of the physical objects identified in the real-world space. The method includes comparing the user space score to a game space score that is predefined for the game. The comparing is used to produce a fit handicap for the AR gameplay of the game in the real-world space by the user. Adjustments to gameplay parameters may be made to compensate or adjust the fit handicap.

    HUMAN PERFORMANCE CAPTURING FOR ARTIFICIAL INTELLIGENCE RECOMMENDATIONS

    公开(公告)号:US20210312301A1

    公开(公告)日:2021-10-07

    申请号:US16837969

    申请日:2020-04-01

    Abstract: Methods and systems are provided for generating recommendations related to a game. One example method is for generating recommendations for a game executed by a cloud gaming service. The method includes receiving, by a server, sensor data captured during gameplay of the game by a plurality of user, and each of the plurality of sensor data includes intensity information related to reactions made by respective users. The method includes processing, by the server, features from the sensor data and the interactive data from the game when the users played the game. The features are classified and used to build an engagement model that identifies relationships between specific ones of the plurality of sensor data and the interactive data. The method includes processing, by the server, sensor data captured during a current gameplay by a user using the engagement model. The processing is configured to generate a recommendation to the user regarding an action to take to progress in the game during said current gameplay.

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