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.

Date of Patent:
Jun. 29, 2021

Filed:

Dec. 21, 2018
Applicant:

Butterfly Network, Inc., Guilford, CT (US);

Inventors:

Jonathan M. Rothberg, Guilford, CT (US);

Tyler S. Ralston, Clinton, CT (US);

Nathan Silberman, Brooklyn, NY (US);

Assignee:

Butterfly Network, Inc., Guilford, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/041 (2006.01); G06F 3/0346 (2013.01); G06K 9/00 (2006.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06K 9/62 (2006.01); G06K 9/20 (2006.01);
U.S. Cl.
CPC ...
G06F 3/017 (2013.01); G06F 3/0346 (2013.01); G06K 9/00335 (2013.01); G06K 9/00355 (2013.01); G06K 9/2018 (2013.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01);
Abstract

Aspects of the technology described herein relate to methods and apparatuses for identifying gestures based on ultrasound data. Performing gesture recognition may include obtaining, with a wearable device, ultrasound data corresponding to an anatomical gesture; and identifying the anatomical gesture based on the obtained ultrasound data. Interfacing with a computing device may include identifying, with a wearable device, an anatomical gesture using ultrasound data obtained by the wearable device; and causing the computing device to perform a specific function based on the anatomical gesture identified by the wearable device. Training a wearable device to perform gesture recognition may include obtaining, with the wearable device, ultrasound data corresponding to an anatomical gesture; obtaining non-ultrasound data corresponding to the anatomical gesture; and training a machine learning model accessed by the wearable device to recognize the anatomical gesture based on correlating the non-ultrasound data and the ultrasound data.


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