Motion-Guided Beamforming in Hearing Aids for Noisy Listening
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Solution Overview
Problem
Hearing devices struggle to adapt effectively to environments with multiple audio sources, leading to inefficient energy consumption and suboptimal listening experiences, particularly in noisy settings.
Innovation Solution
A hearing device with a motion detector, such as an accelerometer or gyroscope, controls beamforming based on user motion and noise levels to dynamically adjust beamforming modes, optimizing energy use and improving sound source separation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming processing is continuously applied to enhance directional audio focus, then listening clarity in noisy environments is improved, but energy consumption increases
Solution Approach 1:
The beamforming processing is made dynamic by continuously monitoring motion parameters (acceleration, velocity, position changes) and adapting the beamforming activation status based on detected motion patterns. The system transitions between beamforming modes (omnidirectional, directional, focused) depending on whether motion indicates the user is attending to a specific sound source, thereby optimizing energy consumption while maintaining listening clarity when needed.
Solution Approach 2:
The system employs feedback mechanisms where motion detector data continuously feeds back to the beamforming controller, which adjusts beamforming parameters in real-time. This closed-loop control allows the system to respond to user behavior patterns, activating beamforming only when motion patterns suggest the user is focusing on a particular audio source, thus balancing energy efficiency with audio quality.
2Reliability
If beamforming is applied in all listening situations, then directional focus is maintained, but adaptability to different listening environments deteriorates
Solution Approach 1:
The beamforming system dynamically adapts its characteristics based on real-time motion analysis. When motion patterns indicate the user is moving through different environments or changing their attention focus, the system adjusts beamforming parameters accordingly - switching between omnidirectional mode for general awareness, directional mode for focused listening, and focused beamforming for specific sound source isolation. This dynamic adaptation enhances versatility across diverse listening situations.
Solution Approach 2:
The system changes key beamforming parameters (beam width, direction, activation status) based on motion-detected user behavior. When motion indicates the user is stationary and likely attending to ambient sound, the system uses omnidirectional or wide beam patterns. When motion suggests focused attention on a specific source, the system narrows the beam width and adjusts direction, thereby adapting to different listening requirements while maintaining optimal directional focus when needed.
3Reliability
If beamforming processing is applied continuously, then audio signal processing capability is maintained, but device complexity and computational load increase
Solution Approach 1:
Instead of applying full beamforming processing continuously, the system applies partial processing by monitoring motion parameters with high frequency but performing computationally intensive beamforming calculations only when motion patterns indicate a need for directional focus. This selective application of processing power reduces computational load while maintaining audio signal processing capability when actually required by user behavior.
Solution Approach 2:
The beamforming processing operates periodically based on motion-triggered events rather than continuously. The system periodically evaluates motion data, and only initiates beamforming processing when motion patterns cross certain thresholds or exhibit specific patterns suggesting focused attention. This periodic operation significantly reduces computational load compared to continuous processing while maintaining processing capability during relevant periods.
Data Source
AI summary
A hearing device includes: a first microphone and a second microphone for provision of a first microphone input signal and a second microphone input signal, respectively; a beamforming module configured to process the first microphone input signal and the second microphone input signal, the beamforming module configured to provide a beamformed input signal; a processor configured to process the beamformed input signal for provision of an electrical output signal based on the beamformed input signal from the beamforming module; a receiver configured to convert the electrical output signal to an audio output signal; and a motion detector; wherein the beamforming module comprises a beamforming controller coupled to the motion detector, and wherein the beamforming controller is configured to control the beamforming module based on motion data from the motion detector.