公开(公告)号：US20230069040A1

公开(公告)日：2023-03-02

申请号：US17894314

申请日：2022-08-24

Applicant: STARKEY LABORATORIES, INC.

Inventor： Roy Talman ,  Yaniv Ganor ,  Lior Weizman ,  Neta Aviel ,  Nitzan Bornstein

IPC: A61B5/08 ,  A61B5/0205 ,  A61B5/024

Abstract: An ear-wearable electronic device comprises a motion sensor configured to generate motion information and a first respiration rate estimated using the motion information. A
PPG sensor is configured to generate PPG data and a second respiration rate estimate using the PPG data. A processor is configured to produce a respiration rate estimate using the first and second respiration rate estimates. A communication device is configured to communicate the respiration rate estimate to one or both of an external electronic device and a cloud database.

公开(公告)号：US11607170B2

公开(公告)日：2023-03-21

申请号：US16777525

申请日：2020-01-30

Applicant: Starkey Laboratories, Inc.

Inventor： Matan Sivan ,  Nitzan Bornstein ,  Justin Burwinkel ,  Roy Talman ,  Neta Aviel

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/16 ,  G06N20/00 ,  G06N3/08 ,  H04R3/00 ,  A61B5/024 ,  A61B5/369

Abstract: A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

公开(公告)号：US20220157434A1

公开(公告)日：2022-05-19

申请号：US17526416

申请日：2021-11-15

Applicant: Starkey Laboratories, Inc.

Inventor： Majd Srour ,  Amit Shahar ,  Roy Talman

IPC: G16H20/70 ,  A61B5/16 ,  A61B5/00

Abstract: Embodiments herein relate to ear-wearable device systems and methods for monitoring a device wearer's emotional state and status. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a power supply circuit. The ear-wearable device is configured to monitor signals from the microphone, identify signs of anxiety in the microphone signals, and provide a wearer of the ear-wearable device with feedback related to identified anxiety. In another embodiment, a method of monitoring anxiety with an ear-wearable device is included, the method including monitoring signals from a microphone, identifying signs of anxiety in the microphone signals, and providing a wearer of the ear-wearable device with feedback related to the identified anxiety. Other embodiments are also included herein.

公开(公告)号：US20200245869A1

公开(公告)日：2020-08-06

申请号：US16777525

申请日：2020-01-30

Applicant: Starkey Laboratories, Inc.

Inventor： Matan Sivan ,  Nitzan Bornstein ,  Justin Burwinkel ,  Roy Talman ,  Neta Aviel

IPC: A61B5/00 ,  G06N20/00 ,  G06N3/08 ,  H04R3/00

Abstract: A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

公开(公告)号：US11937943B2

公开(公告)日：2024-03-26

申请号：US18186568

申请日：2023-03-20

Applicant: Starkey Laboratories, Inc.

Inventor： Matan Sivan ,  Nitzan Bornstein ,  Justin Burwinkel ,  Roy Talman ,  Neta Aviel

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/16 ,  A61B5/369 ,  G06N3/08 ,  G06N20/00 ,  H04R3/00 ,  A61B5/024

CPC classification number: A61B5/6815 ,  A61B5/0002 ,  A61B5/0024 ,  A61B5/0205 ,  A61B5/165 ,  A61B5/486 ,  A61B5/742 ,  G06N3/08 ,  G06N20/00 ,  H04R3/005 ,  A61B5/02438 ,  A61B5/369 ,  A61B2562/0219 ,  A61B2562/0223

Abstract: A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

公开(公告)号：US20230016667A1

公开(公告)日：2023-01-19

申请号：US17786673

申请日：2020-12-17

Applicant: Starkey Laboratories, Inc.

Inventor： Majd Srour ,  Amit Shahar ,  Roy Talman

IPC: A61B5/00 ,  H04R25/00

Abstract: Embodiments herein relate to embodiments herein relate to hearing assistance systems and methods for monitoring a device wearer's emotional state and status. In an embodiment, a hearing assistance system is included having an ear-worn device that can include a control circuit and a microphone in electronic communication with the control circuit. The ear-worn device can be configured to monitor signals from the microphone, analyze the signals in order to identify speech, and transmit data based on the signals representing the identified speech to a separate device. Other embodiments are also included herein.

公开(公告)号：US20230225675A1

公开(公告)日：2023-07-20

申请号：US18186568

申请日：2023-03-20

Applicant: Starkey Laboratories, Inc.

Inventor： Matan Sivan ,  Nitzan Bornstein ,  Justin Burwinkel ,  Roy Talman ,  Neta Aviel

IPC: A61B5/00 ,  A61B5/0205 ,  A61B5/16 ,  G06N20/00 ,  G06N3/08 ,  H04R3/00

CPC classification number: A61B5/6815 ,  A61B5/0002 ,  A61B5/0205 ,  A61B5/165 ,  A61B5/486 ,  A61B5/742 ,  G06N20/00 ,  A61B5/0024 ,  G06N3/08 ,  H04R3/005 ,  A61B5/02438

Abstract: A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.