Patent classifications
A63F13/5375
Gesture-Based Skill Search
A map regarding one or more virtual actions may be stored in memory. The virtual actions may be associated with a set of data associated with performing a corresponding action in a real-world environment. Data regarding a action by a user in the real-world environment may be captured. A current progress level of the user within the virtual environment is identified. The current identified progress level is associated with one or more available virtual actions. The captured data may correspond to an identified one of the available virtual actions based on a match between the captured data and the set of data associated with the identified virtual action as indicated by the map. A search of one or more databases for instructions corresponding to the identified virtual action is initiated.
Multipoint SLAM capture
“Feature points” in “point clouds” that are visible to multiple respective cameras (i.e., aspects of objects imaged by the cameras) are reported via wired and/or wireless communication paths to a compositing processor which can determine whether a particular feature point “moved” a certain amount relative to another image. In this way, the compositing processor can determine, e.g., using triangulation and recognition of common features, how much movement occurred and where any particular camera was positioned when a latter image from that camera is captured. Thus, “overlap” of feature points in multiple images is used so that the system can close the loop to generate a SLAM map. The compositing processor, which may be implemented by a server or other device, generates the SLAM map by merging feature point data from multiple imaging devices.
AUTOMATED ARTIFICIAL INTELLIGENCE (AI) PERSONAL ASSISTANT
A method for assisting game play. The method includes monitoring game play of the user playing a gaming application, wherein the user has a defined task to accomplish, wherein the task is associated with a task type. The method includes determining a task type proficiency rule for the task type based on results of a plurality of players taking on a plurality of tasks having the task type. The method includes determining a player proficiency score for accomplishing the task based on the task type proficiency rule. The method includes determining a user predictive rate of success in accomplishing the task based on the player proficiency score, the task type proficiency rule, and the task. The method includes determining a recommendation for the user based on the user predictive rate of success.
AUTOMATED ARTIFICIAL INTELLIGENCE (AI) CONTROL MODE FOR PLAYING SPECIFIC TASKS DURING GAMING APPLICATIONS
A method for gaming. The method includes assigning a default game play profile to a user, wherein the default game play profile includes a default game play style that simulates human game play, and wherein the default game play profile is configured to control game play for the user based on the default game play style. The method includes monitoring a plurality of game plays of the user playing a plurality of gaming applications. The method includes generating a user game play profile of the user by adjusting the default game play style based on the plurality of game plays, wherein the user game play profile includes a user game play style customized to the user. The method includes controlling an instance of a first gaming application based on the user game play style of the user game play profile.
AUTOMATED ARTIFICIAL INTELLIGENCE (AI) CONTROL MODE FOR PLAYING SPECIFIC TASKS DURING GAMING APPLICATIONS
A method for gaming. The method includes assigning a default game play profile to a user, wherein the default game play profile includes a default game play style that simulates human game play, and wherein the default game play profile is configured to control game play for the user based on the default game play style. The method includes monitoring a plurality of game plays of the user playing a plurality of gaming applications. The method includes generating a user game play profile of the user by adjusting the default game play style based on the plurality of game plays, wherein the user game play profile includes a user game play style customized to the user. The method includes controlling an instance of a first gaming application based on the user game play style of the user game play profile.
Cross-platform consumption of in-game objects
Computer implemented systems and methods for cross-platform consumption of in-game objects are provided herein. An exemplary method includes receiving by a data platform from at least one first device game object data discovered by a user while playing a video game associated with the data platform; attributing by the data platform a cross-platform identifier to the game object data; storing by the data platform metadata associated with the game object data to a database associated with the data platform, and receiving by the data platform from a second device associated with the data platform a request for access to the game object data and the metadata. The request may include the cross-platform identifier. The exemplary method further includes authenticating by the data platform the request based on the cross-platform identifier; and based on the authentication selectively providing by the data platform access to game object data and the metadata.
Storage medium, game apparatus and game control method
A non-limiting example game system includes a processor incorporated in a main body apparatus, and the processor makes a player character hit a ball according to an operation of a player. A movement gauge is displayed in a parameter determination screen, and the movement gauge includes a belt-shaped basic area and a risk area outside the basic area. A first index image is moved inside the basic area, and a hitting power is determined at a position that the movement is stopped by an operation of the player. The hitting power affects a flight distance of a ball. After the hitting power is determined, a position of a deviation indication image displayed along the first index image is determined at random. A deviation amount is made larger as the deviation indication image is moved away from the center of the first index image. The risk area is enlarged toward an upper end of the movement gauge. That is, if the flight distance of the ball is made longer, the deviation amount may become larger. The player plays a golf game in consideration of whether the flight distance of the ball is prioritized or the directionality is prioritized.
Storage medium, game apparatus and game control method
A non-limiting example game system includes a processor incorporated in a main body apparatus, and the processor makes a player character hit a ball according to an operation of a player. A movement gauge is displayed in a parameter determination screen, and the movement gauge includes a belt-shaped basic area and a risk area outside the basic area. A first index image is moved inside the basic area, and a hitting power is determined at a position that the movement is stopped by an operation of the player. The hitting power affects a flight distance of a ball. After the hitting power is determined, a position of a deviation indication image displayed along the first index image is determined at random. A deviation amount is made larger as the deviation indication image is moved away from the center of the first index image. The risk area is enlarged toward an upper end of the movement gauge. That is, if the flight distance of the ball is made longer, the deviation amount may become larger. The player plays a golf game in consideration of whether the flight distance of the ball is prioritized or the directionality is prioritized.
PROGRAM, SERVER, METHOD, AND SYSTEM FOR INCREASING PREDICTABILITY OF ENEMY NEXT ACTION
Provided is a program for a game where a plurality of players battle against a common enemy character, the program causing a computer to execute: storing an enemy common parameter in a storage device commonly to a plurality of items of player identification information; storing enemy next-action information so as to be individually associated with each of the items of the player identification information; executing an action of a player character based on an accepted command input; updating the enemy common parameter on the basis of the action of the player character; executing an action of the enemy character based on. the enemy next-action information that is stored in association with the player identification information; deciding as enemy next action on the basis of the enemy common parameter; and updating the enemy next-action information that is associated with the player identifier, based on the decided enemy next action.
PROGRAM, SERVER, METHOD, AND SYSTEM FOR INCREASING PREDICTABILITY OF ENEMY NEXT ACTION
Provided is a program for a game where a plurality of players battle against a common enemy character, the program causing a computer to execute: storing an enemy common parameter in a storage device commonly to a plurality of items of player identification information; storing enemy next-action information so as to be individually associated with each of the items of the player identification information; executing an action of a player character based on an accepted command input; updating the enemy common parameter on the basis of the action of the player character; executing an action of the enemy character based on. the enemy next-action information that is stored in association with the player identification information; deciding as enemy next action on the basis of the enemy common parameter; and updating the enemy next-action information that is associated with the player identifier, based on the decided enemy next action.