Fall Detection Response Using Context and Magnitude
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Solution Overview
Problem
Existing fall detection systems do not account for user-specific profiles, preferences, or the context of a fall when determining the appropriate response, leading to potentially delayed or inappropriate assistance in emergency situations.
Innovation Solution
Implementing a method that uses user profiles, preferences, and context information to customize the response to a detected fall, including the option to ignore, immediately alert, or apply a revocation period based on factors like living conditions, fall history, severity of the fall, location, time of day, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a standard revocation period is applied to all fall detections, then false alarms from non-critical falls are reduced, but assistance is delayed for severe falls where immediate help is needed
Solution Approach 1:
The system dynamically adjusts the revocation period duration based on fall characteristics. Severe falls with high impact magnitude trigger an immediate alarm with no revocation period, while minor falls allow a standard revocation period. This dynamic adaptation resolves the contradiction by making the system responsive to the severity of each specific fall event.
Solution Approach 2:
The system changes the time parameter (revocation period duration) based on the magnitude parameter (impact severity). By evaluating fall magnitude from accelerometer data and adjusting the revocation period accordingly, the system optimizes both reliability and response time for different fall scenarios.
2Loss of time
If immediate alarm is sent for all detected falls, then response time is minimized, but unnecessary alarms are generated for non-critical movements
Solution Approach 1:
The system uses fall magnitude as a threshold parameter to determine alarm timing. Falls exceeding a predefined magnitude threshold trigger immediate alarms, while falls below the threshold undergo a revocation period. This parameter-based differentiation ensures rapid response for severe falls while filtering out minor movements.
Solution Approach 2:
The system evaluates fall characteristics and provides feedback to determine the appropriate alarm response. By analyzing accelerometer data to assess fall severity and using this feedback to control alarm timing, the system achieves both rapid response for critical falls and false alarm reduction for minor events.
3Measurement precision
If the fall detection system includes multiple sensors and context analysis, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The accelerometer serves multiple functions: detecting falls, measuring fall magnitude, and determining fall characteristics. This multi-functionality improves detection precision without requiring additional dedicated sensors, thereby limiting the increase in device complexity.
Solution Approach 2:
The system combines fall detection, magnitude assessment, and context analysis into a unified processing framework. By merging these functions into a single integrated system rather than separate components, the achievement of high detection precision is accomplished with minimal increase in overall system 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 ensures timely and appropriate assistance by tailoring the response to the individual's needs, reducing the risk of delayed help and improving user safety, especially in severe or hazardous conditions.
Implementation Method 1
Most existing body-worn fall detection systems make use of an accelerometer (usually an accelerometer that measures acceleration in three dimensions) and they are configured to infer the occurrence of a fall by processing the time series generated by the accelerometer.
Implementation Method 2
Some fall detection systems can also include an air pressure sensor, for example as described in WO 2004/114245, for measuring the height, height change or absolute altitude of the fall detection system.
Data Source
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AI summary
There is provided a method of responding to a detected fall, the method comprising determining which one or two or more actions to perform in response to detecting a fall by a user based on a user profile and/or user preference and/or the context of the detected fall; and performing the determined action.