Methods and apparatus for learning sensor data patterns of physical-training activities
US10824954B1 · kind B1 · utility
7Cited by
25References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2015 |
| Grant date | Nov 3, 2020 |
| Priority date | — |
| Expiry date | Oct 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for learning, recognition, classification and analysis of real-world cyclic patterns using a model having n oscillators, with primary frequency ω1, ω2, . . . , ωn. 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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.