Method and apparatus for automatic event prediction
US11074802B2 · kind B2 · utility
4Cited by
9References
24Claims
0Family size
Assignee
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Key dates
| Filing date | Jan 30, 2018 |
| Grant date | Jul 27, 2021 |
| Priority date | — |
| Expiry date | Oct 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/70
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for predicting hospital bed exit events from video camera systems is disclosed. The system processes video data with a deep convolutional neural network consisting of five main layers: a 1×1 3D convolutional layer used for generating feature maps from raw video data, a context-aware pooling layer used for rectifying data from different camera angles, two fully connected layers used for applying pre-trained deep features, and an output layer used to provide a likelihood of a bed exit event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.