Detecting human input activity in a cognitive environment using wearable inertia and audio sensors
US11195118B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 20, 2017 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Oct 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A mechanism is provided in a data processing system comprising a processor and a memory. The memory comprises instructions which are executed by the processor to cause the processor to be specifically configured to implement a recognizer module for detecting user input in a cognitive environment. The recognizer module receives sensor signals from at least one wearable device being worn by a user. The recognizer module analyzes the sensor signals using a machine learning model to determine at least one user input indicator describing user input activity of the user. The recognizer module communicates the at least one user input indicator to a cognitive system executing within the cognitive environment. The cognitive system performs at least one cognitive action based on the at least one user input indicator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.