Hearing Issue Detection via Auditory Interaction Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individuals often do not recognize hearing issues until they have progressed into significant problems, leading to reduced quality of life, as early detection and treatment are crucial for effective management.
Innovation Solution
A method and system that utilize mobile devices, wearable computers, and virtual assistants to collect and analyze auditory usage data, identifying potential emerging hearing issues and communicating alerts to users based on determined indications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hearing detection methods are used, then hearing issues can be identified, but detection occurs only after significant hearing problems have developed
Solution Approach 1:
The system performs preliminary analysis of auditory usage data to detect early signs of hearing issues before they manifest as significant problems. By continuously monitoring audio interactions and identifying patterns that indicate emerging hearing difficulties, the system enables early intervention while hearing loss is still reversible or manageable.
2Reliability
If auditory usage data is collected and analyzed continuously, then early hearing issues can be detected, but device complexity increases
Solution Approach 1:
The system leverages the mobile device's existing audio recording capabilities and processing resources to perform self-service hearing monitoring. Rather than requiring a complex dedicated hearing test device, the system uses the phone's microphone and processor to analyze auditory usage patterns, thereby reducing overall system complexity while maintaining detection reliability.
Solution Approach 2:
The system introduces an intermediary analytical layer that processes auditory usage data to identify hearing issue patterns. This intermediary component translates raw audio interaction data into meaningful insights about hearing health, simplifying the overall system architecture while improving detection accuracy through targeted data analysis.
Data Source
AI summary
Computer technology for determining a possibility of an emerging hearing issue in a user based on the user's auditory interactions with a mobile device (for example, a smartphone), a wearable computer device (for example, a smart watch) and/or a virtual assistant (for example, an internet of things (IoT) enabled doorbell).