US 2026/0247156 A1Published application

Long-term pattern recognition using proximity detection for security applications

AssigneeDell Products L.P.

InventorsTejinder Singh, Navjot Kaur Khaira, Kan Wang, Ibrahim Abu Alhaol

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Abstract

The technology described herein is directed towards using a wearable passive metasurface (e.g., configured as a ring) to reflect signals representative of user interaction with computer peripheral devices (e.g., a mouse and keyboard) coupled to a computing device. The reflected signals indicate current user interaction with the device obtained over a timeframe. A short term classifier model set processes features of the user interaction patterns, extracted from time and frequency domain analyses, to recognize activity from the interaction pattern data of a user, as well as detect any deviations from the user's ordinary interaction behavior, possibly indicating a different user. A long term classification model inputs the user interaction pattern data and the recognized activity, to output authentication response data, such as confidence level data, for comparison with a confidence level threshold, to determine via the interaction pattern data whether the user is an authorized user of the computing device.

Claims20

Dependent claims

A system, comprising:

at least one processor;
and
at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, the operations comprising:
obtaining current user interaction pattern data representative of interaction by a user with a computing device via an input device, comprising:
transmitting wireless radio frequency signals;
receiving, via a receiver coupled to the input device, reflected instances of the wireless radio frequency signals,
wherein the reflected instances of the wireless radio frequency signals are reflected by unit cells of a wearable metasurface worn by the user, and
wherein the reflected instances of the wireless radio frequency signals are obtained over a time duration and are representative of the user interaction pattern data;
inputting the current user interaction pattern data into a first trained model set;
in response to the inputting of the current user interaction pattern data, obtaining, from the first trained model set, user activity classification data representative of a classification of the interaction by the user;
inputting the current user interaction pattern data and the user activity classification data into a second trained model set trained with prior user interaction pattern data, and associated with the user activity classification data, of an authorized user of the computing device;
and
in response to the inputting of the current user interaction pattern data and the user activity classification data, obtaining, from the second trained model set, authentication response data based on whether the current user interaction pattern data corresponds to the prior interaction pattern data of an authorized user of the computing device.

10 more elements

A method, comprising:

receiving, by a system comprising at least one processor, a group of wireless radio frequency signals detected over a time duration, the group of wireless radio frequency signals reflected by a metasurface comprising unit cells incorporated into a wearable device;
obtaining, by the system, current user interaction pattern data based on the group of the wireless radio frequency signals, wherein the user interaction pattern data is representative of interaction, by a user wearing the wearable device, with an input device coupled to a computing device;
and
determining, by the system, whether the user wearing the wearable device is authorized to use the computing device, comprising:
inputting the current user interaction pattern data into a first trained model set that processes information representative of the current user interaction pattern data into user behavior classification data,
inputting at least some of the current user interaction pattern data, and the behavior classification data, into a second trained model set that evaluates the current user interaction pattern data and the behavior classification data based on prior user interaction pattern data associated with the behavior classification data to ascertain whether the user is an authorized user of the computing device.

3 more elements

A non-transitory machine-readable medium, comprising executable instructions that, when executed by at least one processor, facilitate performance of operations, the operations comprising:

monitoring interaction with a computing device, the interaction being associated with threshold recent and current user interaction with an input device coupled to the computing device, to perform ongoing authentication of the user, comprising:
obtaining user interaction pattern data representative of the threshold recent and current user interaction with the computing device, based on wireless radio frequency signals reflected by a metasurface incorporated into a wearable device being worn by the user;
obtaining, using a first trained model set based on the user interaction pattern data and the user behavior classification data, authentication response data based on whether the user interaction pattern data corresponds to prior interaction pattern data, of an authorized user of the computing device;
and
obtaining, using a second trained model set based on at least some of the user interaction pattern data and the user behavior classification data, authentication response data indicative of whether the current user interaction pattern data corresponds to prior interaction pattern data of an authorized user of the computing device.

2 more elements

Dependencies are inferred from the claim text.