Fall Detection False Positive Reduction via Device Status
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Solution Overview
Problem
Current fall detection technologies in portable electronic devices suffer from low successful detection rates and high false positive rates, particularly when used on the wrist or in non-specific devices like mobile phones, due to instability and sporadic movements.
Innovation Solution
A method and device that temporarily suspend or prevent fall detection processes based on the status of the mobile electronic device, such as recent usage events, ongoing calls, or screen lock status, to differentiate between actual falls and accidental drops, utilizing conventional fall detection algorithms and timers to reduce false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fall detection algorithms are activated in portable electronic devices worn on the wrist or in non-specific devices, then the device can detect fall events, but the detection accuracy decreases and false positive rate increases due to sporadic movement
Solution Approach 1:
The system performs preliminary analysis of movement patterns and device status before triggering fall detection. By examining historical movement data and current device state (such as whether the device is being held or placed on a surface), the system determines if a detected acceleration event is likely to be a true fall or a false positive caused by normal device handling.
Solution Approach 2:
The system uses feedback from multiple sensors (accelerometer, gyroscope, proximity sensor) and contextual information (device usage status, screen state) to continuously refine fall detection decisions. The proximity sensor provides feedback about whether the device is near the user's body, helping distinguish between falls and device placement events.
2Ease of operation
If the device is worn on the wrist for convenience, then ease of operation improves, but detection reliability decreases compared to hip-worn devices
Solution Approach 1:
The system is designed to function effectively across multiple wear locations (wrist, hip, pocket) and device types (smartphones, tablets, dedicated fall detectors). By using universal detection algorithms that analyze movement patterns relative to the device's center of gravity and incorporate contextual sensors, the system maintains reliability regardless of where the device is worn or carried.
Solution Approach 2:
The system dynamically adjusts detection parameters and thresholds based on the detected wear location and usage context. When the device is identified as being worn on the wrist versus carried in a pocket, the system modifies its sensitivity and analysis criteria to optimize detection accuracy for that specific context.
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
Significantly reduces false positive detections while maintaining high successful detection rates, allowing mobile devices like phones to function as reliable fall detectors with accuracy comparable to dedicated hip-worn devices.
Implementation Method 1
an acceleration sensor generates acceleration signals correlated to the components of the acceleration of the portable apparatus along three detection axes
Data Source
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AI summary
According to an aspect of the present disclosure, there is provided a method in a portable electronic device for handling fall detection, the method comprising: detecting a suspected fall; and, preventing or suspending, at least temporarily, a triggering of a fall process based on a status and/or historical status of the electronic device, the status and/or historical status being at the time the suspected fall was detected. A portable electronic device and computer readable medium may also be provided.