An alert is used to inform a user that their blood glucose level has dropped below a threshold (e.g., the user is hypoglycemic) or has increased above a threshold (e.g., the user is hyperglycemic). There is a hierarchy of alerts from lowest priority to highest priority. The alert is communicated by a user device (e.g., a mobile device), which is, for example, a smartphone, smart watch, home automation device, or the like. The alert is modified in order to increase the likelihood that the user receives or acknowledges the alert within a minimal amount of time. An intensity level (e.g., a volume) of an alert is modified based on, for example, whether the user has acknowledged a previous alert. A modality or a sensory channel of an alert is changed if an initial alert does fails to elicit a response from the user.

The concepts and technologies disclosed herein are directed to venue seat assignment based upon hearing profiles. According to one aspect of the concepts and technologies disclosed herein, a device can include a processor and a memory. The device can receive a request to upload a hearing profile, and can upload the hearing profile to a seat assignment system. The device can receive, from the seat assignment system, a customized seating chart based, at least in part, upon the hearing profile. The customized seating chart can include a visual representation of at least a portion of seating in a venue. The device can select, from the customized seating chart, a seat from the portion of the seating in the venue. This selection can be made automatically or based upon user input.

An alert is used to inform a user that their blood glucose level has dropped below a threshold (e.g., the user is hypoglycemic) or has increased above a threshold (e.g., the user is hyperglycemic). There is a hierarchy of alerts from lowest priority to highest priority. The alert is communicated by a user device (e.g., a mobile device), which is, for example, a smartphone, smart watch, home automation device, or the like. The alert is modified in order to increase the likelihood that the user receives or acknowledges the alert within a minimal amount of time. An intensity level (e.g., a volume) of an alert is modified based on, for example, whether the user has acknowledged a previous alert. A modality or a sensory channel of an alert is changed if an initial alert does fails to elicit a response from the user.

Techniques are provided for mobile platform based detection and prevention (or mitigation) of hearing loss. An example system may include a hearing loss indicator data generation circuit configured to measure hearing loss indicator data associated with use of the device by a user. The hearing loss indicator data may include ambient sound characteristics, user speech volume level and user volume setting of the device. The system may also include an audio context generation circuit configured to estimate context data associated with use of the device. The context data may be based on classification of audio input to the device and on the location of the device. The system may further include an interface circuit configured to collect the hearing loss indicator data and the context data over a selected time period and provide the collected data to a hearing loss analysis system at periodic intervals.

In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.

A method for evaluating hearing of a user comprising: generating a baseline hearing profile for the user comprising a set of gain values based on a volume setting, each gain value in the set of gain values corresponding to a frequency band in a set of frequency bands; accessing a soundbite comprising a phrase characterized by a frequency spectrum predominantly within one frequency band; playing the soundbite amplified by a first gain in the frequency band; playing the soundbite amplified by a second gain in the frequency band; receiving a preference input representing a preference of the user from amongst the soundbite amplified by the first gain and the soundbite amplified by the second; and modifying a gain value, corresponding to the frequency band, in the baseline hearing profile based on the preference input to generate a refined hearing profile compensating for hearing deficiency of the user.

An exemplary system includes an electro-acoustic stimulation (EAS) sound processor, a cochlear implant communicatively coupled to the EAS sound processor, an electrode array communicatively coupled to the cochlear implant, and a receiver communicatively coupled to the EAS sound processor and configured to be in communication with an ear of a patient. The EAS sound processor 1) directs, while in a self-fitting mode, the receiver to apply acoustic stimulation to the patient, 2) records, using at least one electrode included in the electrode array, an evoked response that occurs in response to the acoustic stimulation, 3) compares the evoked response to a baseline evoked response recorded by the EAS sound processor prior to recording the evoked response, and 4) performs a predetermined action based on the comparison between the evoked response and the baseline evoked response. Corresponding systems and methods are also disclosed.

An image of a pinna is captured. Based on the image of the pinna, a non-linear transfer function is determined which characterizes how sound is transformed at the pinna. A signal is output indicative of one or more audio cues to facilitate spatial localization of sound via the pinna, where the one or more audio cues is based on the non-linear transfer function.

An audio system for user hearing assessment includes one or more audio capture devices, and processing circuitry. The one or more audio capture devices are configured to capture audio of a conversation of a user and convert the audio to audio signals. The processing circuitry is configured to use the audio signals to identify multiple conditions associated with user hearing difficulty. The conditions include any of words, phrases, frequencies, or phonemes, and environmental audio conditions that are followed by an indication of user hearing difficulty. The processing circuitry is configured to generate a hearing profile for the user based on the identified conditions associated with user hearing difficulty. The processing circuitry is configured to adjust an operation of an audio output device using the hearing profile to reduce a frequency of user hearing difficulty if the user requires audio enhancement.

Hearing system, accessory device, agent and method for situated design of a hearing algorithm of a hearing device is disclosed, the method comprising initializing a model comprising a parameterized objective function; providing one or more operating parameters indicative of the hearing algorithm to the hearing device; obtaining operating data comprising corresponding input data and output data of the hearing device; obtaining evaluation data indicative of user evaluation of the output data; determining one or more updated operating parameters based on the model, the operating data and the evaluation data; and providing the updated operating parameters to the hearing device.