Machine learning driven resource allocation
US-2021362049-A1 · Nov 25, 2021 · US
US11826644B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11826644-B2 |
| Application number | US-202117494246-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 5, 2021 |
| Priority date | Oct 5, 2021 |
| Publication date | Nov 28, 2023 |
| Grant date | Nov 28, 2023 |
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Methods and systems are provided for processing operations of a game to be played via a mobile device is provided. The method includes establishing a connection with the mobile device to play the game. The method includes receiving controller input from the mobile device; the controller input being from the mobile device to perform an action in the game. The method includes determining a correction value required to perform the action. The method includes applying the correction value to the controller input to increase an accuracy of the controller input when performing the action. In this way, when correction values are applied to the controller input from the mobile device of a user playing a game, the accuracy of the control input is increased so that the user can achieve the intended action in the game.
Opening claim text (preview).
What is claimed is: 1. A method for processing operations of a game to be played via a mobile device, the method comprising: establishing a connection with the mobile device to play the game; receiving controller input from the mobile device, said controller input being from the mobile device to perform an action in the game; determining a correction value required to perform the action; and applying the correction value to the controller input to increase an accuracy of the controller input when performing the action; wherein said correction value is associated with a gearing metric, the gearing metric identifies a rate at which the correction value is applied. 2. The method of claim 1 , wherein said applying the correction value to the controller input parallels game controller inputs of the game played via a gaming console. 3. The method of claim 1 , wherein the correction value is applied to the controller input and continuously updated in substantial-real time during the play of the game by a user to increase the accuracy of the controller input when performing the action. 4. A method for processing operations of a game to be played via a mobile device, the method comprising: establishing a connection with the mobile device to play the game; receiving controller input from the mobile device, said controller input being from the mobile device to perform an action in the game; determining a correction value required to perform the action; and applying the correction value to the controller input to increase an accuracy of the controller input when performing the action; wherein the correction value is identified from an artificial intelligence (AI) model generated for the game during a session, wherein the AI model is used to process controller input for a plurality of actions including the action, and based on a learning of accuracy, the AI model identifies said correction value during a part or parts of the session. 5. The method of claim 4 , wherein the correction value is dynamically updated based on the AI model processing additional input data to identify updates to said correction value.
Resuming a game, e.g. after pausing, malfunction or power failure · CPC title
Performing operations on behalf of clients with restricted processing capabilities, e.g. servers transform changing game scene into an encoded video stream for transmitting to a mobile phone or a thin client · CPC title
for performing operations on behalf of the game client, e.g. rendering · CPC title
involving process of starting or resuming a game · CPC title
the surface being also a display device, e.g. touch screens · CPC title
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