The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 11, 2026
Filed:
May. 09, 2024
Georgia Tech Research Corporation, Atlanta, GA (US);
Emory University, Atlanta, GA (US);
David Verl Anderson, Atlanta, GA (US);
Meredith A. Caveney, Atlanta, GA (US);
Reed Blevins, Atlanta, GA (US);
Amanda I. Gillespie, Atlanta, GA (US);
Ozioma Orjioke, Atlanta, GA (US);
Sandeep Shelly, Atlanta, GA (US);
Nathaniel Sundholm, Atlanta, GA (US);
Adam M. Klein, Atlanta, GA (US);
Georgia Tech Research Corporation, Atlanta, GA (US);
EMORY UNIVERSITY, Atlanta, GA (US);
Abstract
An exemplary system and method for a head-worn device for augmenting speech therapy or mitigating Parkinson's effect or other speech-impairing conditions by providing haptic feedback, vibratory feedback, audio feedback, or other stimulations to a wearer by isolating and analyzing vocal/speech output of the user for signal-associated assessment, including, e.g., based on timing, direction, loudness, and/or speaking rate. The haptic biofeedback and/or acoustic/vibratory feedback are beneficially provided to the wearer when (i) certain minimum threshold targets, e.g., relating to the user's loudness or speech rate are not met or (ii) when certain thresholds are exceeded, e.g., for loudness, intensity, or speech rate. The system and method can additionally isolate a detected speech or sound and determine if it is from the user. As a signal-assessment analysis system and method, the implementation can be performed with minimal computation power or resources, e.g., as compared to speech or voice recognition technology.