Starkey Laboratories, Inc.

Continuse Biometrics Ltd.

Roy Talman

Justin R Burwinkel

Nitzan Bornstein

Matan Sivan

Neta Aviel

Zeev Zalevsky

Javier Garcia

Yevgeny Beiderman

Amit Shahar

Nisim Nisan Ozana

Majd Srour

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.

Hearing assistance systems and methods for monitoring emotional state

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.

Detection of physical abuse or neglect using data from ear-wearable devices

A system for monitoring glucose blood level of a user is disclosed. The system comprising an illumination unit configured for providing coherent optical illumination on a selected inspection region on the user body, a collection unit configured for collecting light returning from the inspection region and generating a plurality of image data pieces associated with speckle patterns in the collected light, and a control unit comprising a processing utility and storage utility comprising pre-stored calibration data, the processing utility is configured for receiving input data on a plurality of image data pieces from the collection unit and for processing said input data for determining correlation functions between different image data pieces and using said correlation functions and said pre-stored calibration data for determining data on glucose blood level of the user.

System and method for monitoring glucose level

Growing community of inventors

Herzliya, Israel

Roy Talman