Audio System Position Mapping for Multi-User Sound Quality
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Solution Overview
Problem
Existing audio systems often fail to optimize audio settings for users who are not at a designated location or when multiple users are present within the listening area, leading to suboptimal audio experience.
Innovation Solution
An audio system that detects user positions within a listening area, identifies the closest matching reference position, and configures audio settings accordingly, using sensors and mapping data to adjust settings such as volume, base, and delay based on user location and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio settings are optimized for a specific designated location, then audio quality at that location is improved, but audio quality for users at other locations or multiple users deteriorates
Solution Approach 1:
The audio system dynamically adjusts settings based on real-time user position detection. The system transitions from static optimization for a single location to dynamic optimization that adapts to multiple user positions and movements within the listening area, resolving the contradiction between fixed-point quality and multi-position adaptability
Solution Approach 2:
The system creates different audio optimization zones corresponding to different user positions within the listening area. By detecting which zone the user occupies and applying location-specific audio settings, the system provides tailored audio quality for each position while maintaining overall system adaptability
2Ease of operation
If audio settings are fixed for a single reference position, then configuration simplicity is improved, but user experience for moving users or multiple users deteriorates
Solution Approach 1:
The system pre-establishes multiple reference positions and their corresponding optimized audio settings during initialization. This preliminary configuration allows the system to quickly match detected user positions to pre-computed settings, maintaining configuration simplicity while enabling multi-user and multi-position adaptability through the pre-prepared position-profile mappings
Data Source
AI summary
In one aspect, an example method for use in connection with an audio system that is configured to present audio within a listening area includes (i) detecting, by a computing system, a position of a user located within the listening area; (ii) using, by the computing system, at least the detected position of the user to identify, from among multiple candidate reference positions, a reference position that most closely matches the detected position of the user; (iii) using, by the computing system, at least the identified reference position as a basis to select a set of audio settings that corresponds to the identified reference position; and (iv) configuring, by the computing system, the audio system based on the selected set of audio settings.


