IMU Drop Detection With Adaptive Sampling and Rotation Correction
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Solution Overview
Problem
Existing methods for detecting device drops face challenges in balancing high signal resolution and low power consumption, and accurately determining drop events due to varying rotation and sensor positioning in mobile devices.
Innovation Solution
A method and apparatus using an inertial measurement unit (IMU) sensor to detect angular velocity and proper acceleration, combined with adaptive sampling and device-aware algorithms, to determine free fall and impact events, while correcting intrinsic device parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a high sampling rate is used for sensor data collection, then signal resolution is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic sampling rate adjustment based on device state. The system transitions between low sampling rate (normal state) and high sampling rate (drop detection state), allowing high signal resolution only when needed for drop detection while maintaining low power consumption during normal operation. This is achieved through state-machine based control that activates high-rate sampling only when drop indicators are detected.
Solution Approach 2:
The system changes the sampling rate parameter dynamically based on detected conditions. When the device is in a normal state, a low sampling rate is used to conserve energy. When indicators such as angular velocity thresholds or acceleration patterns suggest a drop event, the system switches to a high sampling rate to capture detailed motion data for accurate drop verification.
2Measurement precision
If device parameters are corrected to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary correction of device parameters during manufacturing or initial setup. Intrinsic parameters such as center of mass position, moment of inertia, and sensor orientation are calibrated beforehand and stored in the device. During runtime, these pre-corrected parameters are used directly without requiring complex real-time calculations, thus improving detection accuracy while avoiding increased operational complexity.
Solution Approach 2:
The system uses pre-measured or pre-calculated device parameters (copies of the actual physical properties) to simplify runtime operations. Instead of measuring physical properties like moment of inertia or center of mass during operation, the system uses stored parameter values that represent these properties, enabling accurate drop detection without complex real-time physics calculations.
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
Accurately detects and verifies drop events with high resolution and low power consumption by adapting sampling rates and refining device parameters, enhancing detection accuracy and reducing false positives.
Implementation Method 1
obtaining an angular velocity and a proper acceleration of the electronic device based on sensor data received from an inertial measurement unit (IMU) sensor
Implementation Method 2
A typical drop event consists of two events, a free fall followed by an impact
Implementation Method 3
based on an acceleration difference between the centripetal acceleration and the proper acceleration, determining whether the electronic device is in a fall state
Implementation Method 4
detecting an impact on the electronic device based on a magnitude of the proper acceleration
Data Source
AI summary
A method for detecting a drop event of an electronic device, may include: obtaining an angular velocity and a proper acceleration of the electronic device based on sensor data received from an inertial measurement unit (IMU) sensor of the electronic device; obtaining centripetal acceleration of the electronic device based on the angular velocity, principal moments of inertia of the electronic device, and position of the IMU sensor within the electronic device; based on an acceleration difference between the centripetal acceleration and the proper acceleration, determining whether the electronic device is in a fall state; and based on the electronic device being determined to be in the fall state, providing an analysis result of the drop event.


