Contextual tapping engine
First Claim
1. An apparatus, comprising:
- a processor circuit; and
a memory storing instructions which when executed by the processor circuit, cause the processor circuit to;
authenticate, by an application executing on the processor circuit, credentials associated with an account;
detect, by the application, a tap of a contactless card associated with the account to the apparatus;
receive, by the application from a communications interface of the contactless card, action data used at least in part to determine an action associated with the tap of the contactless card to the apparatus;
receive a machine learning (ML) model, the ML model generated based on training data describing a plurality of actions performed responsive to a plurality of taps of a plurality of contactless cards to a plurality of devices, the contactless card associated with the account one of the plurality of contactless cards;
determine, by the application, a context of the application based at least in part on a current output of the application;
generate a predicted action by the application based on the action data, the determined context, and the ML model, the predicted action associated with at least one of the application and an operating system (OS) executing on the processor circuit;
determine, the predicted action as the action associated with the tap of the contactless card to the apparatus; and
initiate, by the application, performance of the predicted action based on the tap of the contactless card to the apparatus.
1 Assignment
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Accused Products
Abstract
Various embodiments for contextual tapping engines. For example, an application executing on a computing device may authenticate credentials associated with an account and detect a tap of a contactless card to the computing device. The application may receive, from a communications interface of the contactless card, action data used to determine an action associated with the tap of the contactless card to the computing device. The application may determine a context of the application based on a current output of the application. The application may determine, based on the action data, the determined context, and data associated with the account, a first action associated with the tap of the contactless card to the computing device, the first action associated with at least one of the application and an operating system (OS). The application may initiate performance of the first action based on the tap of the contactless card.
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Citations
16 Claims
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1. An apparatus, comprising:
- a processor circuit; and
a memory storing instructions which when executed by the processor circuit, cause the processor circuit to;
authenticate, by an application executing on the processor circuit, credentials associated with an account;
detect, by the application, a tap of a contactless card associated with the account to the apparatus;
receive, by the application from a communications interface of the contactless card, action data used at least in part to determine an action associated with the tap of the contactless card to the apparatus;
receive a machine learning (ML) model, the ML model generated based on training data describing a plurality of actions performed responsive to a plurality of taps of a plurality of contactless cards to a plurality of devices, the contactless card associated with the account one of the plurality of contactless cards;
determine, by the application, a context of the application based at least in part on a current output of the application;
generate a predicted action by the application based on the action data, the determined context, and the ML model, the predicted action associated with at least one of the application and an operating system (OS) executing on the processor circuit;
determine, the predicted action as the action associated with the tap of the contactless card to the apparatus; and
initiate, by the application, performance of the predicted action based on the tap of the contactless card to the apparatus. - View Dependent Claims (2, 3, 4, 5, 6)
- a processor circuit; and
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7. A non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by a processor circuit to cause the processor circuit to:
- authenticate, by an application executing on the processor circuit, credentials associated with an account;
detect, by the application, a tap of a contactless card associated with the account to a device;
receive, by the application from a communications interface of the contactless card, action data used at least in part to determine an action associated with the tap of the contactless card to the device;
determine, by the application, a context of the application based at least in part on a current output of the application;generate a machine learning (ML) model based on training data describing a plurality of actions performed responsive to a plurality of taps of a plurality of contactless cards to a plurality of devices, the contactless card associated with the account one of the plurality of contactless cards determine, by the application based on the action data, the determined context, and the ML model, a first action as the action associated with the tap of the contactless card to the device, the first action comprising an action performed by at least one of the application and an operating system (OS) executing on the processor circuit; and
initiate, by the application, performance of the first action based on the tap of the contactless card to the device. - View Dependent Claims (8, 9, 10, 11)
- authenticate, by an application executing on the processor circuit, credentials associated with an account;
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12. A method, comprising:
- authenticating, by an application executing on a processor circuit of a device, credentials associated with an account;
detecting, by the application, a tap of a contactless card associated with the account to the device;
receiving, by the application from a communications interface of the contactless card, action data used at least in part to determine an action associated with the tap of the contactless card to the device;
determining, by the application, a context of the application based at least in part on a current output of the application;generating a machine learning (ML) model based on training data describing a plurality of actions performed responsive to a plurality of taps of a plurality of contactless cards to a plurality of devices, the contactless card associated with the account one of the plurality of contactless cards; determining, by the application based on the action data, the determined context, and the ML model, a first action as the action associated with the tap of the contactless card to, the first action comprising an action performed by at least one of the application and an operating system (OS) executing on the processor circuit; and
initiating, by the application, performance of the first action based on the tap of the contactless card to the device. - View Dependent Claims (13, 14, 15, 16)
- authenticating, by an application executing on a processor circuit of a device, credentials associated with an account;
Specification