Patents Assigned to Bosch Sensortec GmbH
  • 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