Invention Grant
- Patent Title: Detecting human input activity in a cognitive environment using wearable inertia and audio sensors
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Application No.: US15818140Application Date: 2017-11-20
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Publication No.: US11195118B2Publication Date: 2021-12-07
- Inventor: Victor C. Dibia
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Stephen R. Tkacs; Diana R. Gerhardt; Stephen J. Walder, Jr.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; A61B5/00 ; A61B5/11 ; G06N5/02 ; G06F1/16 ; A61B5/16

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.
Public/Granted literature
- US20190156219A1 Detecting Human Input Activity In a Cognitive Environment Using Wearable Inertia and Audio Sensors Public/Granted day:2019-05-23
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