Contextual tapping engine

• US 10,636,241 B1
• Filed: 10/01/2019
• Issued: 04/28/2020
• Est. Priority Date: 03/20/2019
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Inventors: Rule, Jeffrey, Herrington, Daniel, Hart, Colin, Heng, Melissa Yoemans
• Primary Examiner(s): Johnson, Sonji N
• Application Number:
  US16/589,285
• Time in Patent Office: 210 Days
• CPC Class Codes: G06K 7/10386 the interrogation device being of the portable or hand-handheld type, e.g. incorporated in ubiquitous hand-held devices such as PDA or mobile phone, or in the form of a portable dedicated RFID reader
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 20/108 Remote banking, e.g. home banking
• CPC Class Codes: G06Q 20/3278 RFID or NFC payments by means of M-devices
• CPC Class Codes: G06Q 20/34 using cards, e.g. integrated circuit [IC] cards or magnetic cards
• CPC Class Codes: G06Q 20/352 Contactless payments by cards
• CPC Class Codes: G06Q 20/353 Payments by cards read by M-devices
• CPC Class Codes: G07F 7/084 Additional components relating to data transfer and storing, e.g. error detection, self-diagnosis
• CPC Class Codes: G07F 7/0886 the card reader being portable for interacting with a POS or ECR in realizing a payment transaction
• CPC Class Codes: G07F 7/0893 the card reader reading the card in a contactless manner
• CPC Class Codes: G07F 7/1008 Active credit-cards provided with means to personalise their use, e.g. with PIN-introduction/comparison system

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.

Claims

1. An apparatus, comprising:

a processor; and

a memory storing instructions which when executed by the processor cause the processor to;

receive, by an application executing on the processor from a communications interface of a contactless card, action data used at least in part to determine an action associated with a 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 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 context, and the ML model; and

initiate, by the application, performance of the predicted action based on the tap of the contactless card to the apparatus.

2. The apparatus of claim 1, the memory storing instructions which when executed by the processor cause the processor to:

authenticate, by the application, credentials associated with an account; and

detect, by the application, the tap of the contactless card to the apparatus.

3. The apparatus of claim 1, the memory storing instructions which when executed by the processor cause the processor to:

determine the context of the application based on at least one function and at least one contactless card associated with the current output of the application, the current output of the application comprising a page outputted on a display of the apparatus.

4. The apparatus of claim 1, the memory storing instructions which when executed by the processor cause the processor to:

determine, by the application, a user-defined action specified in data associated with an account; and

determine, by the application, the user-defined action as the action associated with the tap of the contactless card.

5. The apparatus of claim 1, wherein the predicted action comprises one or more of:

(i) a phone call, (ii) loading a page of the application, (iii) activating a component of an operating system (OS) executing on the processor, (iv) accessing a function of a different application executing on the OS, and (v) activating the contactless card.

6. The apparatus of claim 1, the memory storing instructions which when executed by the processor cause the processor to:

receive input specifying a user-defined action to associate with the tap of the contactless card to the apparatus and the context of the application; and

store, in a memory of the contactless card, an indication of the user-defined action as being associated with the tap of the contactless card to the apparatus and the context of the application.

7. The apparatus of claim 1, the memory storing instructions which when executed by the processor cause the processor to:

determine, by the application, that the action data comprises a uniform resource locator (URL); and

perform an operation associated with the URL.

8. 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:

receive, by an application executing on the processor from a communications interface of a contactless card, action data used at least in part to determine an action associated with a tap of the contactless card to a device comprising the processor;

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 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 context, and the ML model; and

initiate, by the application, performance of the predicted action based on the tap of the contactless card to the device.

9. The non-transitory computer-readable storage medium of claim 8, further comprising computer-readable program code executable by the processor circuit to cause the processor circuit to:

authenticate, by the application, credentials associated with an account; and

detect, by the application, the tap of the contactless card to the device.

10. The non-transitory computer-readable storage medium of claim 8, further comprising computer-readable program code executable by the processor circuit to cause the processor circuit to:

determine the context of the application based on at least one function and at least one contactless card associated with the current output of the application, the current output of the application comprising a page outputted on a display of the device.

11. The non-transitory computer-readable storage medium of claim 8, further comprising computer-readable program code executable by the processor circuit to cause the processor circuit to:

determine, by the application, a user-defined action specified in data associated with an account; and

determine, by the application, the user-defined action as the action associated with the tap of the contactless card.

12. The non-transitory computer-readable storage medium of claim 8, wherein the predicted action comprises one or more of:

(i) a phone call, (ii) loading a page of the application, (iii) activating a component of an operating system (OS) executing on the processor, (iv) accessing a function of a different application executing on the OS, and (v) activating the contactless card.

13. The non-transitory computer-readable storage medium of claim 8,

receive input specifying a user-defined action to associate with the tap of the contactless card to the device and the context of the application;

and

store, in a memory of the contactless card, an indication of the user-defined action as being associated with the tap of the contactless card to the device and the context of the application.

14. The non-transitory computer-readable storage medium of claim 8, further comprising computer-readable program code executable by the processor circuit to cause the processor circuit to:

determine, by the application, that the action data comprises a uniform resource locator (URL); and

perform an operation associated with the URL.

15. A method, comprising:

receiving, by an application executing on a processor of a device from a communications interface of a contactless card, action data used at least in part to determine an action associated with a tap of the contactless card to the device;

receiving 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 one of the plurality of contactless cards;

determining, by the application, a context of the application based at least in part on a current output of the application;

generating a predicted action by the application based on the action data, the context, and the ML model; and

initiating, by the application, performance of the predicted action based on the tap of the contactless card to the device.

16. The method of claim 15, further comprising:

authenticating, by the application, credentials associated with an account; and

detecting, by the application, the tap of the contactless card to the device.

17. The method of claim 15, further comprising:

determining the context of the application based on at least one function and at least one contactless card associated with the current output of the application, the current output of the application comprising a page outputted on a display of the device.

18. The method of claim 15, further comprising:

determining, by the application, a user-defined action specified in data associated with an account; and

determining, by the application, the user-defined action as the action associated with the tap of the contactless card.

19. The method of claim 15, wherein the predicted action comprises one or more of:

(i) a phone call, (ii) loading a page of the application, (iii) activating a component of an operating system (OS) executing on the processor, (iv) accessing a function of a different application executing on the OS, and (v) activating the contactless card, the method further comprising;

receiving input specifying a user-defined action to associate with the tap of the contactless card to the device and the context of the application; and

storing, in a memory of the contactless card, an indication of the user-defined action as being associated with the tap of the contactless card to the device and the context of the application.

20. The method of claim 15, further comprising:

determining, by the application, that the action data comprises a uniform resource locator (URL); and

performing an operation associated with the URL.