Mobile Device Audio Control via Accelerometer Whack Detection
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Solution Overview
Problem
Mobile devices often ring or produce sound at inopportune moments due to the difficulty in quickly setting them to silent or vibrate mode, especially when carried in a pocket or bag, and existing methods do not adequately address the need for immediate audio control in such situations.
Innovation Solution
A mobile device can detect acceleration data using an accelerometer to determine if a 'whack' event has occurred, allowing it to control its audio signal, such as silencing or muting, based on a correlation between the detected acceleration and predefined whack event data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional silent or vibrate mode settings are used, then audio control is achieved, but the operation becomes slow and inconvenient when the device is carried in a pocket or bag
Solution Approach 1:
The system pre-configures silent and vibrate mode associations with specific whack detection patterns. When acceleration data matches a predefined whack pattern, the corresponding audio mode is immediately activated without requiring the user to navigate through settings menus, thus resolving the contradiction between ease of operation and time loss.
Solution Approach 2:
The patent replaces the mechanical interaction of physically accessing and manipulating traditional interface controls (buttons, switches) with an acoustic/kinetic input method. The accelerometer detects whack patterns and triggers audio mode changes through motion-based recognition, eliminating the need for manual interface interaction and significantly reducing the time required to change audio modes.
2Reliability
If the device produces audio signals continuously, then communication functionality is maintained, but unintended noise disturbances occur when the device is in a pocket or bag
Solution Approach 1:
The system continuously monitors acceleration data from the accelerometer and uses this feedback to dynamically control audio signal output. When a whack pattern is detected, the system immediately responds by adjusting the audio mode, providing real-time feedback control that prevents noise disturbances while maintaining communication functionality when needed.
Solution Approach 2:
The audio mode is made dynamic rather than static, allowing automatic adjustment based on detected motion patterns. The system transitions between different audio states (normal, silent, vibrate) based on real-time acceleration data analysis, enabling the device to adapt its audio output to the current context and prevent unintended noise while preserving communication reliability.
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
Enables quick and effective control of audio signals on mobile devices without needing to interact with the traditional user interface, reducing unintended noise disturbances by accurately detecting user-intended whack events and adjusting the device's audio mode accordingly.
Implementation Method 1
Acceleration information of the mobile device can be received while the audio signal is being produced. For example, periodic measurements of acceleration can be received from an accelerometer of the mobile device.
Data Source
AI summary
Techniques and tools are described for controlling an audio signal of a mobile device. For example, information indicative of acceleration of the mobile device can be received and correlation between the information indicative of acceleration and exemplar whack event data can be determined. An audio signal of the mobile device can be controlled based on the correlation.