Multi-Sensor Fall Detection for Electronic Components
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Solution Overview
Problem
Existing fall detection systems for electronic components, such as battery packs and mobile devices, are complex, costly, and lack accuracy in detecting simple to complex drops, especially under scenarios involving rotation, initial velocity, and deflection.
Innovation Solution
A combination of an acceleration sensor with either a gyroscope or a barometer, or both, to determine fall events and associated meta data, such as drop height, impact orientation, and ground material, by analyzing acceleration and pressure changes, and compensating for rotational motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex sensor combinations (barometer + accelerometer + gyroscope) are used for fall detection, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The fall detection process is segmented into distinct phases: freefall detection using accelerometer, rotational motion compensation using gyroscope, and impact characterization. Each sensor handles specific aspects of the fall event, dividing the complex detection task into manageable segments that can be processed independently
Solution Approach 2:
The sensor system is designed to perform multiple functions: the accelerometer detects both freefall and impact, the gyroscope compensates for rotational motion and determines impact orientation, and the processor integrates these signals to provide comprehensive fall characterization including height, orientation, and ground type classification
2Reliability
If multiple sensors (accelerometer, gyroscope, barometer) are combined for comprehensive fall detection, then reliability is improved, but device complexity increases
Solution Approach 1:
Multiple sensors (accelerometer, gyroscope, and optionally barometer) are merged into a unified fall detection system where each sensor contributes specific information. The accelerometer provides freefall and impact detection, the gyroscope adds rotational compensation and orientation data, and the barometer contributes height information, creating a reliable multi-sensor system
Solution Approach 2:
The system uses feedback from the gyroscope to compensate for rotational motion in the accelerometer signals, and optionally uses barometer feedback to verify fall height. This cross-validation feedback mechanism improves reliability by ensuring consistent fall detection across multiple sensor measurements
3Device complexity
If simple accelerometer-only systems are used for fall detection, then device complexity is reduced, but measurement precision and accuracy decrease
Solution Approach 1:
The gyroscope function is extracted to specifically handle rotational motion compensation, allowing the accelerometer to focus on acceleration measurement. This separation of functions improves precision by removing rotational interference from the acceleration signals without requiring the accelerometer to be overly complex
4Device complexity
If existing fall detection algorithms are used that do not account for rotation and deflection, then processing complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The algorithm dynamically adapts to complex fall scenarios by using real-time gyroscope data to compensate for rotational motion and detect deflections. The system adjusts its detection thresholds and processing methods based on the detected motion characteristics, enabling accurate fall detection even in dynamic situations with rotation and multiple impacts
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 characterizes drops under complex conditions, providing precise meta data for warranty and security purposes, including impact orientation and ground classification.
Implementation Method 1
The acceleration sensor (accelerometer) is configured to determine an acceleration of the electronic component, e.g., a gravity acceleration and/or an acceleration caused by impacts
Implementation Method 2
The further sensor is configured to determine a further physical parameter, like an angular velocity or an absolute air pressure. Examples for the further sensor are gyroscope (which measures angular velocity) and/or barometer (which measures absolute air pressure)
Implementation Method 3
The further sensor is configured to determine a further physical parameter, like an angular velocity or an absolute air pressure to obtain at least one further signal (indicative for the physical parameter). Examples for the further sensor are gyroscope (which measures angular velocity)
Data Source
Figure 1a~1b
Figure 1c
Figure 2a~2b
AI summary
Electronic component (10) comprising means for fall detection (20), said means for fall detection (20) comprise: an acceleration sensor (22) configured to determine an acceleration of the electronic component (10) to obtain an acceleration signal; a further sensor (24) configured to determine a further physical parameter to obtain a further signal; a processor configured to determine a fall event and/or fall event parameter based on the acceleration signal and the further signal.