Method for manufacturing a hearing device based on personality profiles
View Patent ↗In a method for manufacturing a hearing device, by registering characteristics of an individual (I) a personality vector (K(C I )) is established in a fitting machine. The personality vector (K(C I )) of the individual (I) momentarily involved is compared with stored personality vectors (K 1 (C) to K n (C)). That stored personality vector which is most similar to that of the individual (I) is selected and therefrom a personality profile (PP) which is assigned to such personality vector. There is assigned to the personality profile which accords to the most similar personality vector, a respective fitting vector which controls subsequent manufacturing of the hearing device.
1. A method for manufacturing a hearing device fitted to an individual, comprising:
registering characteristics of the individual for whom the hearing device is to be manufactured;
inputing data identifying said characteristics to a machine;
automatically evaluating, dependent from said data input, a personality profile;
automatically selecting, in dependency of said personality profile, characteristics of a hearing device to be manufactured for said individual; and
manufacturing a hearing device based on said characteristics as automatically selected, the method further comprising:
encoding said registered characteristics to generate said data in dependency of which said personality profile is automatically evaluated;
grouping by said machine said data inputted to form a personality vector of said individual;
storing a multitude of personality vectors and comparing said personality vector of said individual with said personality vectors as stored;
determining by said comparing at least one of said personality vectors stored which is most similar to said personality vector of said individual; and
assigning to each of said personality vectors stored a fitting vector and manufacturing said hearing device based on the fitting vector assigned to said most similar personality vector.
2. The method of claim 1 wherein said registering of characteristics of said individual, comprises at least one of:
behavioural observation;
standardized written or oral testing of said individual;
interviewing said individual; and
electronically registering at least one of visual and of acoustical behaviour of said individual.
3. The method of one of claims 1 or 2 , wherein said characteristics of said individual comprise at least one of:
audiologic characteristics;
visual appearance characteristics; and
psychological characteristics.
4. The method of claim 1 , further comprising disabling an unauthorized person to read data which contribute to said personality profile.
5. The method of claim 4 , further comprising encrypting said data.
6. The method of claim 1 , further comprising adjusting said fitting vector assigned to said most similar personality vector and basing said manufacturing on a resulting adjusted fitting vector.
7. The method of claim 6 , further comprising updating said fitting vectors as stored and assigned to said personality vectors in dependency of at least one adjusted fitting vector.
8. The method of claim 7 , wherein said updating comprises adding a new fitting vector to the stored fitting vectors, in dependency of at least one adjusted fitting vector and assigning said new fitting vector to a new personality vector which is generated in dependency of at least one personality vector of an individual, the characteristics of which being or having been registered.
9. A method for fitting a hearing device to an individual comprising:
registering characteristics of the individual for whom the hearing device is to be manufactured;
inputing data identifying said characteristics to a machine;
automatically evaluating dependent from said data input a personality profile in electronic form of said individual;
automatically selecting in dependency of said personality profile, characteristics of a hearing device for said individual; and
fitting a hearing device based on said characteristics as automatically selected,
the method further comprising:
encoding said registered characteristics to generate said data in dependency of which said personality profile is automatically evaluated;
grouping by said machine said data inputted to form a personality vector of said individual;
storing a multitude of personality vectors and comparing said personality vector of said individual with said personality vectors as stored;
determining by said comparing at least one of said personality vectors stored which is most similar to said personality vector of said individual; and
assigning to each of said personality vectors stored a fitting vector and fitting said hearing device based on the fitting vector assigned to said most similar personality vector.