System and method for iterative classification using neurophysiological signals
US12001607B2 · kind B2 · utility
0Cited by
6References
21Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2023 |
| Grant date | Jun 4, 2024 |
| Priority date | — |
| Expiry date | Feb 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image classification neural network is trained based on images that are the presented to an observer as a visual stimulus while collecting neurophysiological signals from a brain of the observer. The neurophysiological signals are processes to identify a neurophysiological event indicative of a detection of a target by the observer in one or more of the images, and the image classification neural network is trained to identify the target in the image based on the identification of the neurophysiological event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.