Auditory Hearing Protection for Sudden Low-Frequency Noise
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Solution Overview
Problem
Hearing aids and noise-cancelling headphones often fail to effectively block sudden, low-frequency noises like fireworks, requiring manual adjustment and potentially causing hearing damage due to inconsistent ambient noise filtering.
Innovation Solution
An auditory device uses a machine-learning model to monitor background noise, identify ambient conditions, and apply presets such as high-frequency shelves, parametric equalizers, and adaptive noise cancellation to automatically reduce or block harmful sounds based on patterns and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual noise cancellation is used, then the user can block out specific noises, but the user must continuously adjust the settings which is arduous and time-consuming
Solution Approach 1:
The auditory device automatically detects ambient noise conditions and applies appropriate noise cancellation presets without requiring user intervention. The system monitors background noise, identifies the noise condition, and autonomously adjusts settings to block relevant frequencies, eliminating the need for manual configuration.
Solution Approach 2:
The system pre-configures multiple noise cancellation presets corresponding to different ambient noise conditions (e.g., fireworks, construction, traffic). When a noise condition is detected, the appropriate preset is automatically applied in advance, preparing the device to handle the specific noise type effectively without delay.
2Reliability
If conventional noise-cancelling headphones are used, then consistent ambient noise is filtered out, but sudden low-frequency noises like fireworks cannot be blocked
Solution Approach 1:
The auditory device dynamically adjusts its noise cancellation strategy based on real-time detection of ambient noise conditions. Rather than using a fixed filtering approach, the system adapts its frequency response and cancellation parameters to match the detected noise type, enabling effective protection across diverse acoustic environments including sudden low-frequency events.
Solution Approach 2:
The system changes key parameters such as frequency bands, gain levels, and cancellation algorithms based on the detected ambient noise condition. Different presets modify these parameters to target specific frequency ranges and noise characteristics, allowing the device to optimize performance for each noise type rather than using a one-size-fits-all approach.
3Measurement precision
If the auditory device monitors background noise continuously, then ambient noise conditions can be identified accurately, but energy consumption increases
Solution Approach 1:
The auditory device employs periodic noise monitoring rather than continuous operation. The system samples background noise at intervals to identify ambient conditions, using the periodic sampling to detect changes in the acoustic environment while minimizing overall energy consumption compared to continuous monitoring.
Data Source
AI summary
A computer-implemented method provides hearing protection with an auditory device includes monitoring background noise to identify an ambient noise condition. The method further includes outputting a determination that one or more presets correspond to the ambient noise condition. The method further includes applying, with the auditory device, the one or more presets, wherein the one or more presets reduce or block the background noise associated with the ambient noise condition based on patterns associated with the ambient noise condition.