18526398. METHODS AND SYSTEMS FOR AUTOMATICALLY PRESERVING A USER SESSION ON A PUBLIC ACCESS SHARED COMPUTER simplified abstract (Capital One Services, LLC)

METHODS AND SYSTEMS FOR AUTOMATICALLY PRESERVING A USER SESSION ON A PUBLIC ACCESS SHARED COMPUTER

Organization Name

Capital One Services, LLC

Inventor(s)

Anh Truong of Champaign IL (US)

Jeremy Goodsitt of McLean VA (US)

Alvin Hua of Gaithersburg MD (US)

Kate Key of Effingham IL (US)

Ernest Kwak of McLean VA (US)

Vincent Pham of Chicago IL (US)

Galen Rafferty of McLean VA (US)

Austin Walters of Savoy IL (US)

METHODS AND SYSTEMS FOR AUTOMATICALLY PRESERVING A USER SESSION ON A PUBLIC ACCESS SHARED COMPUTER - A simplified explanation of the abstract

This abstract first appeared for US patent application 18526398 titled 'METHODS AND SYSTEMS FOR AUTOMATICALLY PRESERVING A USER SESSION ON A PUBLIC ACCESS SHARED COMPUTER

Simplified Explanation

The abstract describes a computer-implemented method that involves receiving image data from a camera, detecting user movement using a machine learning model, encrypting a user session, and initiating a new user session on a public access user computing device.

• Receiving image data from at least one camera associated with a first user at a public access user computing device.
• Detecting user movement based on the received image data using a machine learning model trained with a dataset of actions from previous users.
• Automatically encrypting a user session associated with the first user upon detecting their movement.
• Initiating a new generic user session on the public access user computing device for a second user.

Potential Applications

This technology could be applied in public spaces such as libraries, internet cafes, or shared workspaces to enhance security and privacy for users.

Problems Solved

This technology helps prevent unauthorized access to user sessions on public access devices and ensures that user data remains secure even when the user is not present.

Benefits

The benefits of this technology include improved user privacy, enhanced security for public access devices, and a seamless transition for multiple users utilizing the same device.

Potential Commercial Applications

"Enhancing User Security and Privacy in Public Access Devices"

Possible Prior Art

There may be prior art related to user session encryption and security measures on public access devices, but specific examples are not provided in the abstract.

How does the machine learning model differentiate between user movements and other activities in the environment?

The abstract does not detail how the machine learning model specifically identifies user movements and distinguishes them from other actions or changes in the environment.

What encryption methods are used to secure the user session?

The abstract mentions automatically encrypting the user session, but it does not specify the encryption methods or protocols utilized for this purpose.

Original Abstract Submitted

A computer-implemented method may include: receiving, from at least one camera, image data associated with a first user at a public access user computing device; detecting, based on the received image data, by employing a machine learning model trained using a dataset of actions collected from a plurality of previous users, that the first user has moved away from the public access user computing device; automatically encrypting, based upon the detection, a user session associated with the first user, wherein the encrypted user session is configured to be subsequently activated by the first user; and initiating a new generic user session on the public access user computing device for a second user.