Systems and methods for probabilistic semantic sensing in a sensory network
US11544608B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2019 |
| Grant date | Jan 3, 2023 |
| Priority date | — |
| Expiry date | Mar 19, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02B20/40
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Systems and methods for probabilistic semantic sensing in a sensory network are disclosed. The system receives raw sensor data from a plurality of sensors and generates semantic data including sensed events. The system correlates the semantic data based on classifiers to generate aggregations of semantic data. Further, the system analyzes the aggregations of semantic data with a probabilistic engine to produce a corresponding plurality of derived events each of which includes a derived probability. The system generates a first derived event, including a first derived probability, that is generated based on a plurality of probabilities that respectively represent a confidence of an associated semantic datum to enable at least one application to perform a service based on the plurality of derived events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.