Systems and methods to determine room occupancy
US11428773B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 17, 2019 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Aug 25, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W88/18
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods determine occupancy of a mobile device in a room based on one or more wireless signals measured by the mobile device. The mobile device receives and processes one or more wireless signals detectable in the room to generate a feature vector that is inputted to a classifier. The wireless signals may originate either in the room or out of the room. The feature vector contains wireless-signal characteristics measured by the mobile device (e.g., time-averaged power, Fourier coefficients) that are essentially unique to a room. The classifier, which may be an artificial neural network, predicts the occupancy of the mobile device in the room from the feature vector. Alternatively, the location of the mobile device in the room may be verified, wherein the feature vector may form a training example to train the classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.