Invented by Bao Tran, Individual
The Individual invention works as follows
Systems and Methods for Assisting User with Hearing by Amplifying Sound Using an Amplifier with Gain and amplitude Controls for a Multiple Frequencies; and Applying a Learning Machine to Identify an Aural Environment and Adjust the amplifiers for Maximum Hearing.Background for Hearing and Monitoring System
The preferred embodiment is in-ear monitor systems.
Hearing aids with custom-fitted fitting are well known. The ‘In the Ear (ITE)? In The Canal? Or ‘Completely in the Canal? The majority of hearing aids are made by hand. To produce ITE devices, it is necessary to determine the exact shape of the auditory tube that will be transferred onto the housing shell. A housing shell is typically shaped from an ear impression. For some time, ear impressions of this kind have been scanned into PC systems to be processed digitally. The triangulation technique is used by these scanners to measure the 3D data. A light source (projector), which creates a pattern, is used to achieve this. A camera, positioned at an angle to the projector, records this pattern. “The spatial depth structure is calculated.
There are other methods that scan the auditory canal directly, without needing an ear impression. The scanners used for recording an ear impression are expensive, and rely almost exclusively on triangulation measurements. This requires precise optical systems, and a complex adjustment of the system. The eardrum cannot be seen from the outside of the ear due to its natural curvature. To overcome the curvature, a physician or skilled operator must carefully pull the outer ear up and backwards while pushing the tip into the ear as deep as is necessary to show the eardrum. It is necessary to deform the ear canal so that the physician can see the eardrum in the direction of the optical axis. It takes manual skills and considerable training to push the funnel carefully into the ear while looking inside, and manipulate the curvature by pulling the ears. The trained operator knows, for example, to place the index or little finger on the head of the subject to prevent injury to the eardrum and ear canal. There is a risk that the skin of the eardrum or sensitive ear canal can be penetrated. This injury can cause pain, hearing loss, and cardiovascular complications through vagal stimulation. It is therefore important to avoid it at all costs.
In one aspect, systems for assisting users include a housing that is custom-fitted to a person’s anatomy, a microphone for capturing sound, coupled to a processing unit to deliver enhanced sounds to the user, an amplifier with gain controls and amplitude controls per hearing frequency, and a machine learning (such a neural net) for identifying an aural setting (such as movie, party, office or home) and then adjusting amplifier controls based on this identified aural setting. In one embodiment, background noise can be used to identify the environment. GPS location is also a good indicator.
In another aspect, the method of assisting the user involves customizing the in-ear devices to the user’s anatomy; recording sound with the in-ear devices; enhancing the sound based upon predetermined profiles; and transmitting the audio to the eardrum.
In another aspect, the method of assisting the user involves customizing the in ear device according to the user’s anatomy, recording sound with the device in ear; recording vital signs using the device in ear; and learning the health signals by the sound and vital signs captured from the device in ear.
In a second aspect, the method involves customizing an in ear device according to the anatomy of the user; capturing vital signals with the in ear device; learning health signals based on the vital signs captured by the in ear device.
In another aspect, the method involves customizing an in ear device to the user’s anatomy; capturing biomarkers using the in ear device; and correlating genomic disease marker with the detected biomarkers in order to predict health.
In another aspect, the method involves customizing the in-ear devices to the user’s anatomy; identifying genetic disease markers; capturing biomarkers using the in-ear devices; and correlating the genomic disease markers detected with the biomarkers detected to predict health.
In another aspect, the method involves customizing an in ear device according to the anatomy of a user; capturing accelerometer and vital sign data; controlling a virtual or augmented reality with acceleration or vital signal data from the device.
In another aspect, the method involves customizing an in ear device according to the user’s anatomy, capturing the heart rate, EEG, or ECG signals with the device, and determining the user intent using the device. The user’s intent can be used as a control for an appliance or to show interest to advertisers.
In another aspect, the method involves customizing the in-ear devices to the user’s anatomy, recording heart rate, EEG/ECG signals or temperature data, and detecting biomarkers using the in-ear devices.
In another aspect, the method involves customizing an in-ear to the anatomy of the user, recording sounds from an advertisement and vital signs that are associated with the advertisement. It also includes customizing the advertisement so as to attract the user.
In another aspect, “a method” includes customizing a device in the ear to a user’s anatomy, capturing vitals signs associated with a particular situation, detecting user emotions from the vitals signs and customizing a response based on that emotion. In one embodiment, the detected emotion of a user is sent to a robot so that it can be more responsive to its user.
In another aspect, the method comprises customizing a device in the ear to a particular user’s anatomy, capturing a command given by the user, detecting emotion in the user based on vital indicators, and performing an act in response to both the command and detected emotion.
In another aspect, the method involves customizing the in-ear device according to the anatomy of the user; capturing the command from the user; authenticating the user using a voiceprint, or vital signs, and performing the action in response.
In one aspect, the method of assisting the user involves customizing the in-ear devices to the user’s anatomy; recording sound with the in-ear devices; enhancing the sound using predetermined profiles; and transmitting the sounds to the eardrum.
In one aspect, the method of assisting a person includes providing a device in the ear to the user’s anatomy, recording sound with the device in the ear, and capturing vital signals using the device in the ear. The device in the ear then learns health signals by analyzing the vital signs and sound captured.
In another aspect, the method involves providing an in-ear-device to the user’s anatomy, capturing vital signals with the in ear-device and learning health indicators from the vital-signs captured by the in ear-device.
In another aspect, the method involves providing an in-ear-device to a user’s anatomy; capturing biomarkers using the in-ear-device; and correlating genomic disease marker with the detected biomarkers in order to predict health.
In another aspect, the method involves providing an in-ear-device to a user’s anatomy; identifying genetic disease markers; capturing biomarkers using the in ear-device; and correlating genomic diseases markers with detected biomarkers in order to predict health.