Method and system for providing a graphical user interface using machine learning and movement of the user or user device
US12282862B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 4, 2021 |
| Grant date | Apr 22, 2025 |
| Priority date | — |
| Expiry date | Jan 1, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F3/0482
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present method and system are for providing a graphical user interface using machine learning and movement of the user or user device. In an example, the method and system comprise, training a context analyzer machine learning model with training motion data for a training activity context, the context analyzer for predicting a predicted activity context from new motion data; training a response analyzer machine learning model with training usage data and training user responses for the training activity context for a user interface, the response analyzer for predicting the predicted user response from the predicted activity context and new usage data; predicting the predicted user response from motion data and usage data using both the context analyzer and the response analyzer; and determining a preferred variation for the user interface using a predetermined performance metric and the predicted user response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.