Machine learning system for technical knowledge capture
US12118773B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2020 |
| Grant date | Oct 15, 2024 |
| Priority date | — |
| Expiry date | Nov 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure describes machine learning techniques for capturing human knowledge for performing a task. In one example, a video device obtains video data of a first user performing the task and one or more sensors generate sensor data during performance of the task. An audio device obtains audio data describing performance of the task. A computation engine applies a machine learning system to correlate the video data to the audio data and sensor data to identify portions of the video, sensor, and audio data that depict a same step of a plurality of steps for performing the task. The machine learning system further processes the correlated data to update a domain model defining performance of the task. A training unit applies the domain model to generate training information for performing the task. An output device outputs the training information for use in training a second user to perform the task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.