Hearing Device Accelerometer Music Movement Similarity
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Solution Overview
Problem
Conventional hearing devices struggle to determine a user's listening intentions and select appropriate sound processing programs when encountering mixed audio content, such as both music and speech, as they cannot accurately assess the user's focus or preferences.
Innovation Solution
The hearing device incorporates a microphone and an accelerometer to detect audio signals and user movements, calculating a similarity measure between the music features in the audio and movement features to optimize sound processing programs, allowing for automatic adaptation and storage of settings for enhanced listening experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional hearing devices use automatic switching based on detected environmental cues, then the device can switch between sound processing programs, but it cannot accurately determine user listening intentions when audio content includes both music and speech
Solution Approach 1:
The patent introduces an accelerometer as an intermediary sensor to detect user body movements as a mediator for inferring listening intentions. The accelerometer data serves as an intermediate indicator that complements audio signal analysis, allowing the system to indirectly determine user preference when audio content contains mixed speech and music. This intermediary measurement resolves the contradiction by providing an additional channel for intention detection that is not limited by the complexity of audio content analysis.
2Loss of information
If the hearing device analyzes audio signals to identify music and speech content, then it can classify audio types, but it cannot determine which content the user is more focused on
Solution Approach 1:
The patent replaces complex audio signal analysis and psychological inference mechanisms with a simpler mechanical sensing approach using an accelerometer. Instead of attempting to decipher user intention through sophisticated audio processing alone, the system substitutes mechanical movement detection to infer listening focus. This substitution reduces processing complexity while recovering the lost information about user preference through physical movement patterns associated with music listening (e.g., head nodding to rhythm).
3Ease of operation
If the hearing device uses multiple sound processing programs optimized for different audio content, then it can provide optimized processing, but the user cannot always know which program to select
Solution Approach 1:
The patent implements self-service by enabling the hearing device to automatically select the appropriate sound processing program based on accelerometer-detected user movements and audio signal analysis. The system serves itself by inferring user intention from movement patterns and autonomously configuring the optimal processing program, eliminating the need for users to manually select programs or possess knowledge about which program suits their current listening context. This resolves the contradiction by providing the lost information about program selection through automatic inference.
Data Source
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AI summary
A hearing device configured to be worn by a user includes a microphone (106), an accelerometer (108), and a processor (102). The microphone (106) detects an audio signal. The accelerometer (108) outputs accelerometer data associated with the hearing device. The processor (102) is configured to 1) identify a music feature of the audio signal, the music feature indicating that the audio signal includes music content, 2) identify a movement feature of the accelerometer data, the movement feature representative of movement by the user while the microphone detects the audio signal, 3) determine a similarity measure between the music feature and the movement feature, and 4) perform, based on the similarity measure, an operation with respect to a sound processing program executable by the processor (102).