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:
Oct. 11, 2022

Filed:

Sep. 22, 2020
Applicant:

Bose Corporation, Framingham, MA (US);

Inventors:

Jeremy Kemmerer, Holliston, MA (US);

Elio Dante Querze, III, Arlington, MA (US);

Shuo Zhang, Cambridge, MA (US);

Christopher Alexis Kotelly, Boston, MA (US);

Junyan Jiang, Shanghai, CN;

Chuan-Che Huang, Framingham, MA (US);

Lauren Westendorf, Boston, MA (US);

Todd Reily, North Reading, MA (US);

Trevor Caldwell, Brighton, MA (US);

Yang Liu, Boston, MA (US);

Assignee:

BOSE CORPORATION, Framingham, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/01 (2006.01); H04W 4/80 (2018.01); G06N 20/00 (2019.01); G06F 3/16 (2006.01); H04R 3/04 (2006.01); H04R 5/033 (2006.01); H04R 5/04 (2006.01); G06F 3/00 (2006.01);
U.S. Cl.
CPC ...
G06F 3/016 (2013.01); G06F 3/011 (2013.01); G06F 3/017 (2013.01); G06F 3/16 (2013.01); G06N 20/00 (2019.01); H04R 3/04 (2013.01); H04R 5/033 (2013.01); H04R 5/04 (2013.01); H04W 4/80 (2018.02); H04R 2420/07 (2013.01);
Abstract

Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The event is determined based on the measured ambient sound. A location attribute of the event is determined. A deep learning algorithm may be used to identify the nature and/or classification of the event and rule out events that the user prefers to ignore. Upon determining the event that merits the user's attention, the user is provided feedback of the determined event and the location attribute, the feedback indicating the nature and location of the event.


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