Face Recognition Hearing Aid Frequency Adjustment
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Solution Overview
Problem
Users of hearing aids often face difficulties in quickly adjusting sound output frequencies to suit their individual hearing needs, particularly in aging populations who struggle with high-frequency sounds.
Innovation Solution
An electronic device equipped with an image capture module and processing unit that captures a user's face image, analyzes it to obtain age and gender data, and uses this information to determine the minimum audible volume for different sound frequencies, allowing for quick adjustment of sound output settings, with the option to save and upload this data to cloud storage for use by connected devices like hearing aids.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of hearing aid frequency settings is used, then users can customize their hearing preferences, but the adjustment process is time-consuming and inconvenient
Solution Approach 1:
The system performs automatic hearing assessment and frequency optimization without requiring user intervention. The electronic device captures face images, analyzes age and gender, retrieves corresponding hearing data, and automatically adjusts frequency settings, allowing the hearing aid to serve itself rather than requiring manual user configuration
Solution Approach 2:
Hearing assessment data is obtained and stored in advance based on demographic characteristics (age and gender) derived from face recognition. This pre-obtained hearing data is then directly applied when the user needs frequency adjustment, eliminating the need for real-time manual tuning or on-site hearing tests
2Adaptability or versatility
If generic hearing aid settings are used, then device complexity is reduced, but the hearing experience does not match individual user needs
Solution Approach 1:
Demographic characteristics (age and gender) obtained from face recognition serve as an intermediary to bridge the gap between simple device operation and personalized hearing settings. Instead of implementing complex real-time hearing assessment hardware, the system uses easily obtainable demographic data as a mediator to retrieve pre-established hearing profiles, achieving personalization without proportional complexity increase
Solution Approach 2:
The system changes the parameter basis for hearing adjustment from direct physiological measurement to demographic characteristics. By using age and gender (derived from face images) as the key parameters, the system accesses pre-collected hearing data associated with these demographics, enabling personalized settings through simple parameter matching rather than complex real-time analysis
Data Source
AI summary
An electronic device includes an image capture module and a processing unit. The image capture module is used for capturing a user's face image. The processing unit includes an image analysis module and an inquiry module. The image analysis module is signally connected to the image capture module for analyzing the face image and obtaining age data according to a face recognition result. The inquiry module is signally connected to the image analysis module for obtaining a user's hearing data according to the age data, wherein the hearing data is the minimum volume data audible to the user for different frequencies of sound.