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