Methods and apparatus for learning sensor data patterns for gesture-based input
US9582080B1 · kind B1 · utility
26Cited by
19References
20Claims
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Key dates
| Filing date | Jun 25, 2015 |
| Grant date | Feb 28, 2017 |
| Priority date | — |
| Expiry date | Jun 25, 2035 |
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 sensor data as being associated with an activity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.