Learned Volume Control Using Wireless Signal Strength and User Location
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Solution Overview
Problem
Conventional audio devices require manual user intervention for volume adjustments based on varying acoustic properties in different listening areas, leading to inconsistent perceived volume levels.
Innovation Solution
A device with control circuitry that learns volume preferences based on historical data from wireless signals, automatically adjusting volume levels based on user location and signal strength without requiring manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual volume adjustment is implemented, then volume control is achievable, but user convenience deteriorates due to requiring continuous manual input
Solution Approach 1:
The system automatically adjusts volume based on learned user preferences and detected listening locations, eliminating the need for continuous manual user input. The device serves itself by making volume adjustments autonomously based on environmental sensors and historical data.
Solution Approach 2:
The system pre-learns user volume preferences for different locations through initial manual adjustments and sensor data collection. This preliminary learning phase enables automatic volume control in subsequent usage without requiring real-time manual input.
2Reliability
If automatic volume adjustment based on location is implemented, then perceived volume consistency improves, but device complexity increases due to sensors and algorithms
Solution Approach 1:
Existing sensors in the device (microphones, accelerometers, GPS) are repurposed for location detection and volume control decisions, rather than adding dedicated specialized components. This multi-functional approach reduces overall system complexity.
Solution Approach 2:
A processor or control unit acts as an intermediary that receives data from multiple sensors, processes this information through algorithms, and outputs volume control commands. This centralized mediation simplifies the architecture compared to distributed control.
3Measurement precision
If historical volume data is collected and stored, then automatic adjustment accuracy improves, but data storage requirements increase
Solution Approach 1:
The system stores volume preferences specifically organized by location rather than storing all possible volume settings universally. This location-specific storage approach reduces data volume while maintaining accuracy for automatic adjustment.
Solution Approach 2:
The system transforms detailed historical volume data into condensed location-based preference profiles. By changing the data representation from raw volume logs to aggregated location preferences, storage requirements are reduced while preserving adjustment accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides a consistent perceived volume level across different user locations, enhancing user experience with automated volume adjustments.
Implementation Method 1
The control circuitry is configured to determine a signal strength of the wireless signal and then determine a location of the second device based on the determined signal strength of the wireless signal
Data Source
AI summary
Systems and methods for automatically adjusting device volume based on learned volume preferences are disclosed herein. A first device receives a wireless signal from a second device. A signal strength of the wireless signal is determined, and a location of the second device is determined based on the signal strength of the wireless signal. Historical volume level data for the first device is retrieved from memory. A target volume level for the first device is determined based on the location of the second device and the historical volume level data. A volume setting of the first device is automatically adjusted to the target volume level.