Sound Impact Analyzer Correlating Audio Events with Physiological Responses
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Solution Overview
Problem
Current sound measurement technologies, such as audio media players, primarily focus on decibel levels and do not account for sound characteristics like pattern and duration, failing to provide user-specific correlations between environmental sounds and their physiological and psychological effects.
Innovation Solution
A system that collects environmental audio and physiological response data using devices like smartphones and wearable sensors, analyzing these to identify correlations between sound events and user responses, providing personalized recommendations and warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If sound measurement focuses only on decibel levels, then measurement simplicity is improved, but measurement precision is worsened because it fails to capture sound characteristics like pattern and duration that affect physiological responses
Solution Approach 1:
The patent segments sound measurement into multiple independent characteristics (decibel level, pattern, duration, type) rather than relying on a single decibel metric. Each characteristic is measured and analyzed separately to comprehensively assess sound effects on users.
Solution Approach 2:
The patent adds temporal dimensions (pattern over time, duration) to traditional sound measurement. Instead of measuring only instantaneous decibel levels, the system measures how sound varies across time dimensions to capture sustained vs. sudden sound effects.
2Ease of operation
If generic sound warnings are provided based on decibel levels, then ease of operation is improved, but adaptability is worsened because warnings do not account for user-specific physiological responses
Solution Approach 1:
The patent implements a feedback loop where the system measures user physiological responses (heart rate, stress levels) to specific sound events, then uses this feedback to generate personalized sound warnings and recommendations tailored to each user's sensitivity profile.
Solution Approach 2:
The patent changes the parameters of sound assessment from generic decibel thresholds to user-specific physiological response metrics. The system adjusts warning thresholds and recommendations based on individual user data such as heart rate variability and stress responses to different sound characteristics.
3Measurement precision
If comprehensive audio and physiological data collection is implemented, then measurement precision is improved, but device complexity is worsened due to multiple sensors and data processing requirements
Solution Approach 1:
The patent makes existing multi-functional devices (smartphones, wearable fitness trackers) serve additional sound measurement and physiological monitoring functions. By leveraging already-present sensors and processing capabilities in these universal devices, the system avoids adding dedicated specialized hardware.
Solution Approach 2:
The patent uses software algorithms and data processing intermediaries to bridge audio sensor data and physiological sensor data. Rather than requiring direct hardware integration between sound measurement and physiological monitoring systems, the intermediary software layer correlates data from separate device components.
Data Source
AI summary
Methods and apparatus for determining biological effects of environmental sounds are disclosed. An example apparatus includes a sound characteristic analyzer to identify a sound event based on audio data in an environment. The example apparatus includes a physiological data analyzer to identify a physiological event based on physiological response data collected from a user exposed to the sound event in the environment. The example apparatus includes a correlation identifier to identify a correlation between the sound event and the physiological event and a report generator to generate a report based on the correlation.