Mobile Reminder Volume Adjustment Using Echo Path Feedback
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Solution Overview
Problem
Mobile devices often struggle to set reminder volumes effectively, as they can be too quiet in large spaces or too loud in small spaces, requiring user intervention and depending on forethought of the device's location.
Innovation Solution
A method and apparatus that automatically adjusts the initial reminder volume by sampling sound via the device's microphone, estimating the space size based on echo path characteristics, and adjusting the volume accordingly, without user action, using a play alarm applet that repeats until the alarm is acknowledged or ceases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the reminder volume is set to be loud, then the reminder is audible in small spaces like pockets, but it becomes an annoyance to people in the vicinity
Solution Approach 1:
The system dynamically adjusts the reminder volume based on the detected acoustic environment. The volume is not fixed but changes in real-time according to the space characteristics detected by the microphone, allowing the same device to adapt between quiet offices and noisy public spaces.
Solution Approach 2:
The system uses the microphone to sample the acoustic environment and provides feedback about the space characteristics. This feedback loop allows the device to automatically determine whether it is in a confined space like a pocket or a larger space, and adjust the volume accordingly without user intervention.
2Object-affected harmful factors
If the reminder volume is set to be quiet, then it minimizes disruption to others, but the reminder may be too quiet to hear in large spaces
Solution Approach 1:
The system dynamically adjusts the reminder volume based on the detected acoustic environment. The volume is not fixed but changes in real-time according to the space characteristics detected by the microphone, allowing the same device to adapt between quiet offices and noisy public spaces.
Solution Approach 2:
The device automatically detects its own acoustic environment and adjusts its reminder volume without requiring user input. The system serves itself by using its microphone to assess the situation and make appropriate volume adjustments, eliminating the need for manual volume control.
3Measurement precision
If the user manually adjusts the volume when changing location, then the reminder audibility is optimized, but it requires user forethought and intervention
Solution Approach 1:
The device automatically detects its own acoustic environment and adjusts its reminder volume without requiring user input. The system serves itself by using its microphone to assess the situation and make appropriate volume adjustments, eliminating the need for manual volume control.
Solution Approach 2:
The system uses the microphone to sample the acoustic environment and provides feedback about the space characteristics. This feedback loop allows the device to automatically determine whether it is in a confined space like a pocket or a larger space, and adjust the volume accordingly without user intervention.
4Extent of automation
If the device uses echo path characteristics to estimate space size, then automatic volume adjustment is achieved, but the system complexity increases
Solution Approach 1:
The system uses the existing microphone, originally designed for voice calls and general audio input, for the additional function of acoustic environment analysis. This multi-functional use of the microphone avoids adding dedicated hardware while enabling automatic volume adjustment based on echo characteristics.
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
Ensures audible reminders in small spaces while minimizing disruptions in large spaces, restoring the default volume after the reminder is acknowledged, without requiring user intervention.
Implementation Method 1
estimating the "size" of the space and adjusting the volume. This sequence is repeated until the alarm is acknowledged or ceases
Data Source
AI summary
A method and apparatus for automatically adjusting volume of an audio signal on a mobile device, comprising playing the audio signal at an initial volume, sampling the audio signal, estimating a transfer function based on an echo path characteristic between the played audio signal and sampled audio signal, selecting a volume policy based on the estimated transfer function, and adjusting the volume of the audio signal in accordance with the selected volume policy.


