Machine learning model trained using features extracted from n-grams of mouse event data
US12229640B2 · kind B2 · utility
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14Claims
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Key dates
| Filing date | Nov 30, 2020 |
| Grant date | Feb 18, 2025 |
| Priority date | — |
| Expiry date | Apr 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example system includes a processor to receive mouse event data of a session. The processor is to split the mouse event data of the session into mouse event n-grams. The processor is to extract features from the mouse event n-grams. The processor is to send the extracted features to a trained machine learning model. The processor is to receive an output decision from the trained machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.