Patents by Inventor Shane T. Ghiotto

Shane T. Ghiotto 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).

  • Methods and apparatus for learning sensor data patterns of physical-training activities
    Patent number: 10824954
    Abstract: Methods and systems for learning, recognition, classification and analysis of real-world cyclic patterns using a model having n oscillators, with primary frequency ?1, ?2, . . . , ?n. The state of the oscillators is evolved over time using sensor observations, which are also used to determine the sensor characteristics, or the sensor observation functions. Once trained, a set of activity detection filters may be used to classify a sensor data stream as being associated with an activity.
    Type: Grant
    Filed: June 25, 2015
    Date of Patent: November 3, 2020
    Assignee: Bosch Sensortec GmbH
    Inventors: Adam K. Tilton, Shane T. Ghiotto, Prashant G. Mehta
  • Method and apparatus for recognition of sensor data patterns
    Patent number: 10540597
    Abstract: Methods and systems for learning, recognition, classification and analysis of real-world cyclic patterns using a model having n oscillators, with primary frequency ?1, ?2, . . . , ?n. The state of the oscillators is evolved over time using sensor observations, which are also used to determine the sensor characteristics, or the sensor observation functions. Once trained, a set of activity detection filters may be used to classify a sensor data stream as being associated with an activity.
    Type: Grant
    Filed: June 25, 2015
    Date of Patent: January 21, 2020
    Assignee: Bosch Sensortec GmbH
    Inventors: Adam K. Tilton, Shane T. Ghiotto, Prashant G. Mehta
  • Methods and apparatus for learning sensor data patterns for gesture-based input
    Patent number: 9582080
    Abstract: Methods and systems for learning, recognition, classification and analysis of real-world cyclic patterns using a model having n oscillators, with primary frequency ?1, ?2, . . . , ?n. The state of the oscillators is evolved over time using sensor observations, which are also used to determine the sensor characteristics, or the sensor observation functions. Once trained, a set of activity detection filters may be used to classify sensor data as being associated with an activity.
    Type: Grant
    Filed: June 25, 2015
    Date of Patent: February 28, 2017
    Assignee: RITHMIO, INC.
    Inventors: Adam K. Tilton, Shane T. Ghiotto, Prashant G. Mehta