Patents by Inventor Niles William Hacking

Niles William Hacking 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).

  • Patent number: 12230085
    Abstract: 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: Grant
    Filed: November 4, 2023
    Date of Patent: February 18, 2025
    Assignee: TruU, Inc.
    Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
  • Publication number: 20240062604
    Abstract: 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: Application
    Filed: November 4, 2023
    Publication date: February 22, 2024
    Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
  • Patent number: 11816942
    Abstract: 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: Grant
    Filed: February 18, 2021
    Date of Patent: November 14, 2023
    Assignee: TruU, Inc.
    Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking
  • Publication number: 20210256789
    Abstract: 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: Application
    Filed: February 18, 2021
    Publication date: August 19, 2021
    Inventors: David Brett Pasirstein, Jonathan Welch, Andrew Weber Spott, Lucas Allen Budman, Amitabh Agrawal, Niles William Hacking