An earpiece including an intra-auricular support, a projection element coupled thereto, and a flexible body disposed thereon and inside an external ear canal of an ear, and a moldable earpiece material moldable about the intra-auricular support to conform to the auricle of an ear and curable to provide a fixed configuration of the earpiece.

Systems and methods for assisting a user include a housing custom fitted to a user anatomy; a microphone to capture sound coupled to a processor to deliver enhanced sound to the user anatomy; an amplifier with gain and amplitude controls; and a learning machine (such as a neural network) to identify an aural environment and adjusting amplifier controls to optimize hearing based on the identified aural environment.

An earpiece including an intra-auricular support, a projection element coupled thereto, and a flexible body disposed thereon and inside an external ear canal of an ear, and a moldable earpiece material moldable about the intra-auricular support to conform to the auricle of an ear and curable to provide a fixed configuration of the earpiece.

An in-ear audio device has a casing on which is disposed one or more bags are positioned to be filled with fillable material during a customization process in which a test sound is acoustically output into an ear canal by an acoustic driver of the in-ear audio device while the one or more bags are being filled, and a microphone acoustically coupled to the ear canal is employed to detect sounds within the ear canal that are indicative of the frequency response of the acoustic output of the acoustic driver to determine when the degree of sealing of the ear canal by the one or more bags is sufficient to achieve a desired quality of frequency response.

A method of customizing a component of a hearing device to the ear of a hearing device user. The method includes the steps of providing the hearing device component as a pre-form including a shape-memory material, heating the hearing device component, and bringing the hearing device component in contact with at least a portion of the ear after reaching a pre-set contact temperature such that the hearing device component conforms to the individual shape of the at least a portion of ear. The shape of the hearing device component is fixed by attending a hardening time of the shape-memory material. Therefore, the hearing device component perfectly fits to the geometry of the user's ear canal.

A computer-implemented method to create a model used for fabrication of a device configured for placement in an anatomical cavity of a wearer may include first selecting training data and/or testing data by obtaining feedback and data for a plurality of devices fabricated for a plurality of subjects, wherein each of the plurality of devices are fabricated based on a three-dimensional scan of an anatomical cavity of one of the plurality of subjects. The training data set is used to train a machine learning model for transforming a three-dimensional scan of an anatomical cavity to a three-dimensional representation of a device for fabrication.

An earpiece housing includes: an ear canal part to be introduced into an ear canal of a user, wherein the ear canal part extends along an ear canal axis of the earpiece, the ear canal part having a first end configured to be positioned in the ear canal of the user; a first protrusion with a first outer surface; and a second protrusion with a second outer surface; and an intermediate space between the first protrusion and the second protrusion; wherein the first protrusion is between the first end of the ear canal part and the second protrusion along the ear canal axis, the first protrusion comprising a first channel part configured to provide fluid communication between an ear canal cavity and the intermediate space, the second protrusion comprising a second channel part configured to provide fluid communication between the intermediate space and a surrounding of the user.

Systems and methods for assisting a user include a housing custom fitted to a user anatomy; a microphone to capture sound coupled to a processor to deliver enhanced sound to the user anatomy; an amplifier with gain and amplitude controls; and a learning machine (such as a neural network) to identify an aural environment and adjusting amplifier controls to optimize hearing based on the identified aural environment.

An audio device for insertion into an ear canal of a user that includes an adjustable ear tip. The ear tip is formed by a sleeve disposed on a body of the audio device with a first end of the sleeve coupled to an output end of the body. In a retracted state, the sleeve lies alongside an exterior surface of the body. Movement of the second end relative to the body moves the second end axially along the body and flexes the sleeve radially outward away from the body. An extent of movement of the second end is selectable to provide a radial dimension of the sleeve and thus the ear tip that provides a suitable fit of the audio device with a user's ear canal.

An earpiece includes: a first portion configured for placement in an ear canal, the first portion having an asymmetrical configuration; wherein the first portion is configured to exhibit a first property in a first state in response to a stimulus, and to exhibit a second property in a second state in an absence of the stimulus; and wherein the first portion is elastically compressible when the first portion is in the first state and the second state. A hearing device includes: a component configured to provide an output; and an earpiece having a first portion configured to change shape or a material property in response to the output provided by the component.