Fall Detection via Double Integration of Accelerometer Data
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Solution Overview
Problem
Existing fall detection systems have a high false alarm rate due to insufficient differentiation between daily activities and falls, as they rely on measuring acceleration and body orientation changes, and integrating a barometer increases energy consumption and system size.
Innovation Solution
A personal fall detection system using a sensor module with an accelerometer that estimates vertical displacement by twice integrating acceleration measurements to determine impacts and distinguish falls from daily activities, eliminating the need for a height sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a barometer is integrated into the accelerometer-based fall detection system to measure absolute height, then displacement measurement capability is improved, but energy consumption and system size increase
Solution Approach 1:
The patent uses double integration of accelerometer data as an intermediary method to estimate displacement without directly measuring it with a barometer. This mathematical transformation converts acceleration measurements into displacement estimates, achieving the measurement capability while avoiding the energy and size costs of additional hardware
Solution Approach 2:
Instead of using a physical barometer to measure height, the system creates a computational model that copies the displacement measurement function through mathematical integration of existing accelerometer data, eliminating the need for additional physical components
2Measurement precision
If a barometer is integrated into the accelerometer-based fall detection system to measure absolute height, then displacement measurement capability is improved, but system size increases
Solution Approach 1:
The accelerometer serves multiple functions: it detects both impact forces and enables displacement estimation through double integration. This multi-functionality eliminates the need for separate barometer hardware, reducing system size while maintaining measurement capability
Solution Approach 2:
The patent employs mathematical integration as an intermediary process to derive displacement information from existing acceleration data, avoiding the need for additional physical measurement components and thereby reducing system volume
3Device complexity
If existing fall detection solutions use only acceleration and body orientation measurements, then device complexity is reduced, but false alarm rate increases
Solution Approach 1:
The patent adds a temporal dimension to the analysis by performing double integration over time to estimate displacement. This transforms the detection from relying solely on instantaneous acceleration and orientation to incorporating cumulative displacement information, providing an additional discriminative dimension that reduces false alarms without adding hardware complexity
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
This approach reduces false alarms by accurately differentiating falls from daily activities without increasing energy consumption or system size, improving fall detection performance.
Implementation Method 1
As part of these measurements, the accelerometer measures accelerations on the object caused by gravity
Implementation Method 2
Three-dimensional accelerometers can be attached to objects, and can measure the acceleration of the object in three dimensions
Implementation Method 3
the processor estimates the vertical displacement of the sensor module by twice integrating the measurements from the accelerometer
Data Source
AI summary
There is provided a personal fall detection system comprising a sensor module that is suitable for attachment to a user, the sensor module comprising an accelerometer for measuring accelerations acting on the sensor module; and a processor for analyzing the measured accelerations to determine if the sensor module has suffered an impact, and for estimating a vertical displacement of the sensor module during a time period immediately before the impact; wherein the processor estimates the vertical displacement of the sensor module by twice integrating the measurements from the accelerometer.