Context-Aware Self-Calibration

Patent №

US 9,851,795

Granted

2017-12-26

Filed 2015

Owner

BROWN UNIVERSITY

Lab

AI components

5

nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14739406

A method for context-aware self-calibration includes measuring for a plurality of time segments, at least one feature of at least one biosignal or each of at least one channel. Each biosignal is created in response to a user imagining an intended direction for each time segment. An object is moved along an actual decoded direction determined by an output of a decoder configured to correlate for each time segment the at least one feature to the intended direction. The decoder self-calibrates to minimize for each time segment, an error between the actual decoded direction, and the intended direction inferred subsequent to the respective time segment.

Natural languageVisionSpeechKnowledge representationAI hardwareG06F 3/015A61B 5/0006A61B 5/0205A61B 5/24A61B 5/246A61B 5/291A61B 5/296A61B 5/316+16 more

AI classification

Speech0.99
AI hardware0.86
Knowledge representation0.85
Vision0.72
Natural language0.71
Machine learning0.03
Evolutionary computation0.00
Planning0.00

Ownership

BROWN UNIVERSITY

assignment · 359100065

Assignors

JAROSIEWICZ, BEATA, MASSE, NICOLAS, BACHER, DANIEL, SARMA, ANISH

On an employer assignment, the assignors are typically the inventors.

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