Biometric Audio Processing for Mood-Based Acoustic Profiles
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Solution Overview
Problem
Consumer audio systems require manual adjustment of acoustic parameters, leading to a degraded listening experience if not properly adjusted for different audio inputs, as default settings may not suit individual user preferences.
Innovation Solution
A biometric personalized audio processing system that determines a user's mood based on various parameters and selects an appropriate acoustic profile to dynamically adjust the audio output, enhancing the listening experience without manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the user manually selects acoustic parameters, then the listening experience can be optimized for specific preferences, but the system requires continuous user input and adjustment
Solution Approach 1:
The system automatically determines user mood through biometric sensors and autonomously selects appropriate acoustic parameters without requiring manual user input. The processor analyzes biometric data (heart rate, skin conductance, pupil size) and automatically adjusts audio processing parameters based on detected mood states, enabling the system to serve itself rather than requiring continuous user operation.
Solution Approach 2:
The system continuously monitors biometric parameters and uses this feedback to dynamically adjust acoustic settings. By establishing a closed-loop system where biometric data feeds back to the audio processing system, the patent enables real-time adaptation of acoustic parameters based on the user's physiological state, eliminating the need for manual adjustment while maintaining optimized listening experience.
2Ease of operation
If the audio system uses default acoustic parameters, then the system operates without manual adjustment, but the listening experience may be degraded when parameters do not match user preferences or audio content
Solution Approach 1:
The system dynamically adjusts acoustic parameters based on real-time biometric data rather than using static default settings. By making the audio processing system adaptive and responsive to changing user physiological states, the patent enables the system to automatically optimize parameters for different mood states, audio genres, and listening conditions, thereby achieving both ease of operation and high adaptability.
Solution Approach 2:
The system changes acoustic parameters (equalization curves, spatialization settings, volume levels) based on detected mood states and audio content characteristics. By implementing multiple pre-configured acoustic parameter sets that can be automatically selected, the system achieves versatility in adapting to different user preferences and listening scenarios without requiring manual intervention.
3Adaptability or versatility
If the user adjusts acoustic parameters for different audio inputs, then the listening experience is optimized, but the system requires continuous user monitoring and adjustment
Solution Approach 1:
The patent replaces manual mechanical adjustment with automated biometric-based control systems. By substituting the mechanical interaction of manually adjusting parameters with an automated system that uses biometric sensors and processor-based mood detection, the system achieves continuous optimization of acoustic parameters for different audio inputs without requiring user intervention or monitoring.
Data Source
AI summary
Embodiments of the present disclosure set forth a computer-implemented technique for providing a personalized audio signal to a user. The technique includes determining a first mood of the user based on a first set of user parameters, selecting, based on the first mood of the user, a first acoustic profile. The first acoustic profile may include a first set of acoustic parameters, and causing an audio output device to reproduce a first input audio signal based on the first set of acoustic parameters.