Mobile Device In-Flight Mode Detection via Accelerometer
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Solution Overview
Problem
Current mobile devices cannot automatically detect when they are in flight, requiring manual enabling and disabling of in-flight mode, which affects radio features like cellular voice/data and WiFi.
Innovation Solution
A method and apparatus using a 3-dimensional accelerometer to estimate the direction of gravity and separate acceleration into vertical and horizontal components, comparing these components with thresholds to determine if the device is experiencing sufficient vertical acceleration to warrant an in-flight determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual in-flight mode control is implemented, then radio features can be controlled during flight, but user convenience deteriorates due to requiring manual enable/disable operations
Solution Approach 1:
The system uses accelerometer sensors to automatically detect flight conditions and trigger in-flight mode without user intervention. The mobile device serves itself by monitoring its own acceleration patterns and autonomously determining when to enable or disable in-flight mode based on detected vertical acceleration exceeding thresholds during takeoff and landing phases.
Solution Approach 2:
The system continuously monitors accelerometer data providing real-time feedback about device motion state. This feedback loop allows the system to detect changes in acceleration patterns that indicate flight phases, automatically adjusting radio feature availability accordingly without requiring manual user input.
2Ease of operation
If automatic in-flight detection is implemented using sensor measurements, then ease of operation improves, but device complexity increases due to additional processing requirements
Solution Approach 1:
The system extracts only the essential flight detection functionality from the accelerometer sensor data, focusing specifically on vertical acceleration patterns during takeoff and landing. By isolating and processing only the relevant acceleration components needed for flight detection, the system avoids complex full-motion analysis while achieving reliable automatic in-flight mode control.
3Reliability
If flight detection accuracy is improved through multiple comparisons, then reliability increases, but processing time increases due to multiple threshold comparisons
Solution Approach 1:
The detection process is segmented into distinct phases: takeoff detection using vertical acceleration threshold comparison, and landing detection using horizontal acceleration threshold comparison. By dividing the flight detection into separate sequential stages with different comparison criteria, the system achieves high reliability through multiple comparisons while minimizing total processing time by not performing all comparisons simultaneously.
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 the mobile device to automatically detect and manage in-flight mode by accurately distinguishing between flight and non-flight conditions based on acceleration patterns, enhancing user convenience and device functionality.
Implementation Method 1
sensor measurements (e.g., from a 3-dimensional accelerometer sensor)
Data Source
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AI summary
An apparatus and method for detecting whether a mobile device is in flight based on sensor measurements from a 3-dimensional accelerometer are presented. For example, embodiments estimate a direction of gravity and non-gravity acceleration, separate this non-gravity acceleration into a vertical and horizontal components, then test the estimated accelerations to determine whether the mobile device is experiencing sufficient vertical acceleration to warrant an in-flight determination.