KR-20260062425-A - Custom hearing aid recommendation system

Abstract

The present invention relates to a customized hearing aid recommendation system capable of recommending a hearing aid optimized for a user by analyzing the hearing information of a user who has experienced hearing loss and the choices of past hearing aid users using an AI algorithm model.

Inventors

• 이국영

Assignees

• 이국영

Dates

Publication Date

20260507

Application Date

20241029

Claims (5)

1. A user terminal (100) that collects user's hearing information; It includes a recommendation information providing unit (200) that analyzes the user's hearing information provided from the user terminal (100) and recommends an optimal hearing aid to the user. The above recommendation information providing unit (200) is, A content-based filtering unit (210) that analyzes the frequency range and degree of hearing loss based on the user's hearing information; A collaborative filtering unit (220) that analyzes purchase data of users with hearing loss, and determines the performance evaluation and satisfaction of hearing aids used by other users to analyze hearing aid products to recommend to users with similar hearing loss; A storage unit (230) that stores hearing information collected from the content-based filtering unit (210) and the collaborative filtering unit (220) and recommendation information for hearing aid products to be recommended to the user; A customized hearing aid recommendation system comprising a product recommendation unit (240) that recommends a hearing aid product suitable for the user by comprehensively judging the above hearing information, recommendation information, and reviews and feedback from the user who used the hearing aid.
2. In claim 1, The above content-based filtering unit (210) is, When hearing information is input into a user terminal, a hearing information analysis unit (211) analyzes the input hearing information; It includes a hearing aid list section (212) that summarizes the most suitable hearing aid based on the user's hearing information and the frequency range and degree of hearing loss of the user, and The above hearing information is, A customized hearing aid recommendation system that includes information on the user's age, gender, lifestyle, occupation, and whether or not they use a hearing aid.
3. In claim 1, A customized hearing aid recommendation system comprising a weighting unit (300) that gives a weight to a score when the reliability of information of either the content-based filtering unit (210) or the collaborative filtering unit (220) is high during the process of analyzing the content-based filtering unit (210) and the collaborative filtering unit (220).
4. In claim 1, The above product recommendation section (240) is, A location-based filtering unit (241) that filters hearing aid vendors based on location information entered by the user; Price comparison analysis unit (242) that compares and analyzes prices, after-sales service periods, and installment conditions of filtered vendors; A real-time data unit (243) that provides recommendations for hearing aids based on the latest data and location information entered by the user; A customized hearing aid recommendation system including a final recommendation unit (244) that selects the optimal company based on a final score calculated by combining price, after-sales service period, and installment conditions.
5. In claim 4, A customized hearing aid recommendation system that awards additional points to vendors when the warranty period is relatively long or installment payment options are advantageous to the user.

Description

Custom hearing aid recommendation system The present invention relates to a customized hearing aid recommendation system. Along with sight, hearing is an important cognitive tool in social life and serves as a crucial means of obtaining information in the modern information society. However, as industrialization progresses and noise levels in workplaces and residential areas increase, noise-induced hearing loss is on the rise. However, except for some cases where hearing is rapidly impaired, the hearing loss described above progresses gradually, so hearing loss occurs without the individual even realizing it. One of the various types of hearing loss is sensorineural hearing loss, which is caused by the loss of auditory cells; therefore, the general method is to correct hearing using hearing aids. A hearing aid is a type of amplification device worn in the ear to compensate for hearing loss. The principle of a hearing aid is to receive sound waves through a microphone, convert them into electrical signals, fit them to each individual's audiogram, convert them back into sound waves using a receiver, and then deliver the acoustic signals to the ear. These hearing aids are mostly purchased online or by visiting specific retailers. However, the above-mentioned method of purchasing hearing aids is not only cumbersome but also makes it very difficult to buy a hearing aid that fits you at a reasonable price. Therefore, recently, active research is being conducted on methods that provide hearing aids suitable for one's hearing and allow users to purchase them at reasonable prices from retailers located close to them. FIG. 1 is an overall configuration diagram of a customized hearing aid recommendation system according to one embodiment of the present invention. FIG. 2 is a detailed configuration diagram of a recommendation information providing unit according to an embodiment of the present invention. FIG. 3 is a detailed configuration diagram of a content-based filtering unit according to an embodiment of the present invention. FIG. 4 is a detailed configuration diagram of a product recommendation unit according to an embodiment of the present invention. FIG. 5 is an overall configuration diagram showing a hearing measurement unit according to another embodiment of the present invention. FIG. 6 is a configuration diagram showing a frequency selection unit according to another embodiment of the present invention. The following detailed description of the invention refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the invention. It should be understood that various embodiments of the invention are different but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in other embodiments without departing from the spirit and scope of the invention in relation to one embodiment. It should also be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the following detailed description is not intended to be limiting, and the scope of the invention is limited only by the appended claims, including all equivalents to those claimed therein, provided appropriately described. Similar reference numerals in the drawings refer to the same or similar functions across various aspects. Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings. First, FIG. 1 is an overall configuration diagram of a customized hearing aid recommendation system according to one embodiment of the present invention. A customized hearing aid recommendation system according to one embodiment of the present invention may include a user terminal (100) and a recommendation information providing unit (200). The above user terminal (100) is a terminal for a subject who requires a hearing test, and may be a mobile terminal such as a smartphone or smartpad, or a computer terminal such as a desktop computer, personal computer, or laptop. When information about the user's hearing is input into the user terminal (100), the collected data is learned based on artificial intelligence (AI) to analyze the hearing information. User's hearing information may include the user's age, gender, residential area, lifestyle habits (time spent watching TV, time spent talking, time spent on outdoor activities, etc.), time of onset of hearing loss, experience using hearing aids, and type of workplace during economic activities. The user terminal (100) provides the user's hearing information to the recommendation information provider (200) via a network. Here, the network can utilize wired and wireless communication, and the wireless communication