EAR-WORN DEVICES WITH OROPHARYNGEAL EVENT DETECTION

    公开(公告)号:WO2022026557A1

    公开(公告)日:2022-02-03

    申请号:PCT/US2021/043471

    申请日:2021-07-28

    Abstract: Embodiments herein relate to ear-worn devices and related systems and methods that can be used detect oropharyngeal events and related occurrences such as food and drink intake. In an embodiment, an ear-worn device system is included having a first ear-worn device that has a control circuit, a motion sensor, at least one microphone, an electroacoustic transducer, and a power supply circuit. The system can also include a second ear-worn device. The system can be configured to monitor signals from at least one of the motion sensor and the at least one microphone and evaluate the signals to identify oropharyngeal events and/or related occurrences. Other embodiments are also included herein.

    ADAPTIVE BINAURAL BEAMFORMING WITH PRESERVATION OF SPATIAL CUES IN HEARING ASSISTANCE DEVICES

    公开(公告)号:WO2019222534A1

    公开(公告)日:2019-11-21

    申请号:PCT/US2019/032717

    申请日:2019-05-16

    Abstract: A hearing assistance system obtains a first input audio signal that is based on sound received by a first set of microphones. The system also obtains a second input audio signal that is based on sound received by a second, different set of microphones. A first adaptive beamformer generates a first output audio signal based on the first input audio signal, the second input audio signal, and a value of a first parameter. A second adaptive beamformer generates a second output audio signal based on the first input audio signal, the second input audio signal, and a value of a second parameter. The value of the first parameter and the value of the second parameter are determined such that a magnitude squared coherence (MSC) of the first output audio signal and the second output audio signal is less than or equal to the coherence threshold.

    EAR-WEARABLE DEVICE MODELING
    5.
    发明公开

    公开(公告)号:EP4270996A1

    公开(公告)日:2023-11-01

    申请号:EP23170843.9

    申请日:2023-04-28

    Abstract: A method comprises obtaining ear modeling data, wherein the ear modeling data includes a 3D model of an ear canal; applying a shell generation to generate a shell shape based on the ear modeling data, wherein the shell-generation model is a machine learning model and the shell shape is a 3D representation of a shell of an ear-wearable device; applying a set of one or more component-placement models to determine, based on the ear modeling data, a position and orientation of a component of the ear-wearable device, wherein the component-placement models are independent of the shell-generation model and each of the component-placement models is a separate machine learning model; and generating an ear-wearable device model based on the shell shape and the 3D arrangement of the components of the ear-wearable device.

    ACTIVE NOISE CANCELLATION IN AN EAR-WEARABLE DEVICE USING A VIBRATION SENSOR

    公开(公告)号:EP4531036A1

    公开(公告)日:2025-04-02

    申请号:EP24201825.7

    申请日:2024-09-23

    Abstract: An ear-wearable device includes a receiver that produces sound into an ear canal and an inward-facing microphone determining sound pressure resulting from: the sound reproduced by the receiver into the ear canal; and acoustical noise leaking into the ear canal. A structural vibration sensor is coupled to detect at least one of body-induced vibrations and receiver-induced vibrations and produce a sensed vibration signal in response. A sound processor of the ear-wearable device is operable to determine an error signal from the inward-facing microphone and determine an active noise cancellation (ANC) signal based on the error signal. The vibration signal is used to reduce the impacts of vibrations on ANC processing within the ear-wearable device.

    ELECTROENCEPHALOGRAM-ASSISTED BEAM FORMER, BEAM FORMING METHOD AND EAR-MOUNTED HEARING SYSTEM

    公开(公告)号:EP3836563A1

    公开(公告)日:2021-06-16

    申请号:EP19846617.9

    申请日:2019-08-07

    Abstract: Disclosed is a multi-mode beam former, comprising a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization model to obtain a beam-forming weight coefficient for performing linear or non-linear combination on the multi-mode input signal. The optimization model comprises an optimization formula for obtaining the beam-forming weight coefficient. The optimization formula comprises: establishing an association between at least one electroencephalogram signal and a beam forming output, and optimizing the association to construct the beam-forming weight coefficient associated with the at least one electroencephalogram signal.

Patent Agency Ranking