Patents by Inventor LUCAS ALLEN BUDMAN
LUCAS ALLEN BUDMAN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11941096Abstract: A system is disclosed for identifying a user based on the classification of user characteristic data. An identity verification system receives a request from a requesting target user for access to an operational context and characteristic data describing actions of the requesting target user. The identity verification system inputs the characteristic data to an identity confidence model to determine an identity confidence value describes a likelihood that an identity of the requesting target user matches an authenticating identity and determines a false match rate and false non-match rate, which represent a performance of the identity confidence model. The identity verification system determines a match probability for the requesting target user by adjusting the identity confidence value based on the determined false match rate and false non-match rate and grants the requesting target user access to the operational context if match probability is greater than the operational security threshold.Type: GrantFiled: February 10, 2021Date of Patent: March 26, 2024Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20240062604Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.Type: ApplicationFiled: November 4, 2023Publication date: February 22, 2024Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
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Patent number: 11861947Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: GrantFiled: October 6, 2022Date of Patent: January 2, 2024Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Patent number: 11816942Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.Type: GrantFiled: February 18, 2021Date of Patent: November 14, 2023Assignee: TruU, Inc.Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
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Patent number: 11734977Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: GrantFiled: October 6, 2022Date of Patent: August 22, 2023Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20230216850Abstract: A distributed identity server cluster maintains a first communication channel between an endpoint device in a first geographic region and a first server. The first server receives a request from the endpoint device to communicate with an application containing a digital key for accessing the endpoint device and stored at an authentication device located in a second geographic region. The server cluster transmits a notification to the application with instructions for the authentication device to connect to the server cluster. The server cluster opens a second communication channel between the authentication device and a second server in communication with the first server. The server cluster transmits data between the endpoint device and the authentication device across the first communication channel and the second communication channel.Type: ApplicationFiled: December 30, 2022Publication date: July 6, 2023Inventors: David Brett Pasirstein, Lucas Allen Budman
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Publication number: 20230115246Abstract: An identity verification system is disclosed for identifying a user based on the classification of user characteristic data. The identity verification system receives a request for access to an operational context that comprises authentication credentials representing an identity of a requesting target user. The system authenticates the identity of the requesting target user by determining an identity confidence value describing a likelihood that an identity of the requesting target user matches the identity represented by the authentication credentials. The system determines a proximity of the requesting target user to the operational context by determining a distance between a location of the requesting computing device and a location of an authenticating computing device operated by the requesting target user. The system grants the request from the requesting target user for access to the operational context if the requesting target user is within a threshold proximity of the operational context.Type: ApplicationFiled: October 8, 2022Publication date: April 13, 2023Inventors: Lucas Allen Budman, Amitabh Agrawal, David Brett Pasirstein, Joseph Robert Carli
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Publication number: 20230030943Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: ApplicationFiled: October 6, 2022Publication date: February 2, 2023Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20230033188Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: ApplicationFiled: October 6, 2022Publication date: February 2, 2023Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20230026262Abstract: An identity verification system determines a communication channel that transmits signals between the computer system and an authentication device by selecting a data link circuit at the computer system. The identity verification system transmits an authentication request received at the computer system to the authentication device via the communication channel and the authentication device validates the authentication request. In response to the authentication device validating the authentication request, the identity verification system measures a proximity of the authentication device to the computer system based on data transmitted through a proximity channel. If the measured proximity of the authentication device satisfies a threshold proximity, the user verification system grants grant the target user access to the to the computer system.Type: ApplicationFiled: July 21, 2022Publication date: January 26, 2023Inventors: Lucas Allen Budman, David Brett Pasirstein
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Publication number: 20220382845Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data characterizing movements performed by a target user. The sequence of motion data is received as a point cloud of the motion data. The point cloud is input a machine-learned model trained based on manually labeled point clusters of a training set of motion data that each represent a movement. The machine-learned model identifies a movement represented by the point cloud of the motion data and assigns a label describing the movement the point cloud. The system generates a labeled representation of the sequence of motion data comprising the label identifying a portion of the sequence of motion data corresponding to the identified movement.Type: ApplicationFiled: August 9, 2022Publication date: December 1, 2022Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott
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Patent number: 11514739Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: GrantFiled: June 17, 2021Date of Patent: November 29, 2022Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Patent number: 11455383Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data characterizing movements performed by a target user. The sequence of motion data is received as a point cloud of the motion data. The point cloud is input a machine-learned model trained based on manually labeled point clusters of a training set of motion data that each represent a movement. The machine-learned model identifies a movement represented by the point cloud of the motion data and assigns a label describing the movement the point cloud. The system generates a labeled representation of the sequence of motion data comprising the label identifying a portion of the sequence of motion data corresponding to the identified movement.Type: GrantFiled: April 24, 2020Date of Patent: September 27, 2022Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott
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Publication number: 20220182379Abstract: An identity verification system receives context signals from an authenticating computing device in response to a target user requesting access to a secure asset. The identity verification system identifies candidate locations for the operational context assigned to historical context signals labeled as being measured at a known location and compares the context signal to each historical signal to determine a location of the operational context corresponding to the received context signal. The identity verification system determines a match probability for the target user based on a risk score assigned to the location of the operational received context signal and grants the requesting target user access to the secured asset in response to determining that the match probability is greater than the operational security threshold.Type: ApplicationFiled: December 3, 2021Publication date: June 9, 2022Inventors: Lucas Allen Budman, Amitabh Agrawal, Oleksandr Rodak, Andrew Weber Spott
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Publication number: 20220179982Abstract: An identity verification system receives a candidate signal transmitted from a computing device located near a secured asset in response to a target user requesting access to the secure asset. The identity verification system compares the candidate signal to a cluster of signals measured during past successful authentications by the computing device to determine a modulation factor and determines a match probability for the target user based on the determined modulation factor. The identity verification system grants the requesting target user access to the secured asset in response to determining that the match probability is greater than the operational security threshold.Type: ApplicationFiled: December 3, 2021Publication date: June 9, 2022Inventors: Lucas Allen Budman, Amitabh Agrawal, Oleksandr Rodak, Andrew Weber Spott
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Publication number: 20210312738Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: ApplicationFiled: June 17, 2021Publication date: October 7, 2021Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20210256789Abstract: An intention detection mechanism detects a target user accessing an operational context and accesses sensor data collected by a plurality of sensors encoding signals describing one or more characteristics of the target user and surroundings of the target user. The intention detection mechanism converts the accessed sensor data into a multi-channel sensor data time series, where each channel represents a characteristic of the target user. The intention detection mechanism compares the sensor data time series to a multi-channel intentionality template to determine whether the sensor data time series contains the multi-channel intentionality template. The multi-channel intentionality template describes characteristics indicative of an intent of a target user accessing the operational context. If the sensor data time series contains the multi-channel intentionality template, the intention detection mechanism communicates a signal confirming that the target user intended to access to the operational context.Type: ApplicationFiled: February 18, 2021Publication date: August 19, 2021Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
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Publication number: 20210250342Abstract: A system is disclosed for identifying a user based on the classification of user characteristic data. An identity verification system receives a request from a requesting target user for access to an operational context and characteristic data describing actions of the requesting target user. The identity verification system inputs the characteristic data to an identity confidence model to determine an identity confidence value describes a likelihood that an identity of the requesting target user matches an authenticating identity and determines a false match rate and false non-match rate, which represent a performance of the identity confidence model. The identity verification system determines a match probability for the requesting target user by adjusting the identity confidence value based on the determined false match rate and false non-match rate and grants the requesting target user access to the operational context if match probability is greater than the operational security threshold.Type: ApplicationFiled: February 10, 2021Publication date: August 12, 2021Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf
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Publication number: 20210248219Abstract: A system is disclosed for identifying a user based on the classification of characteristic data collected for that user. An identity verification system accesses characteristic data collected by a sensor for a plurality of users. When a user requests access to an operational context, the identity verification system inputs characteristic data collected for the user to an identity confidence model to generate an authentication result, indicating whether the user was granted access to the operational context. The identity verification system updates a false acceptance rate and a false rejection rate for the identity confidence model based the authentication result. Because the false acceptance rate and the false rejection rate for the identity confidence model characterize the performance of the identity confidence model, the identity verification system adjusts one or more parameters of the identity confidence model to improve reduce the false acceptance rate and the false rejection rate.Type: ApplicationFiled: February 10, 2021Publication date: August 12, 2021Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Joseph R. Carli
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Patent number: 11069165Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.Type: GrantFiled: June 9, 2020Date of Patent: July 20, 2021Assignee: TruU, Inc.Inventors: Lucas Allen Budman, Amitabh Agrawal, Andrew Weber Spott, Michael Ross Graf