Machine learning system for adjusting operational characteristics of a computing system based upon HID activity
US11209805B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2017 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Oct 11, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technologies are described for utilizing machine learning (“ML”) to adjust operational characteristics of a computing system based upon detected HID activity. Labeled training data is collected with user consent that includes data describing HID activity and data that identifies user activity taking place on a computing device when the data HID activity took place. A ML model is trained using the labeled training data that can receive data describing current HID activity and identify user activity currently taking place on another computing device based upon the current HID activity. The ML model can then select features of the other computing device that are beneficial to the identified user activity. The ML model can then cause one or more operational characteristics of the other computing device to be adjusted based upon the identified user activity, thereby saving valuable computing resources. A UI can also be presented that describes the identified features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.