Fused electroencephalogram and machine learning for precognitive brain-computer interface for computer control
US10901508B2 · kind B2 · utility
34Cited by
7References
22Claims
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Key dates
| Filing date | Mar 20, 2018 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Apr 23, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for analyzing electroencephalogram (EEG) signals is disclosed. EEG signals are received from a sensor coupled to a user. Contextual information from one or both of the user and the user's environment is also received. The EEG signals are processed in real time using a machine learning model to predict an action of the user, which is associated with the contextual information. Output associated with the predicted action is then generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.