Redundant Fall Detection Devices with User Feedback Model Updates
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Solution Overview
Problem
Elderly individuals are susceptible to falls, which can result in injuries or death, and the risk of falling causes anxiety for caretakers due to the potential delay in receiving medical attention, highlighting the need for an effective fall detection system that improves response time.
Innovation Solution
A fall detection system utilizing multiple redundant devices with sensors and processors that detect falls based on movement and height information, providing user feedback to update fall detection models for increased accuracy, and notifying emergency contacts when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single fall detection device is used, then the device complexity is reduced, but the reliability of fall detection decreases
Solution Approach 1:
The patent applies local quality by using multiple fall detection devices positioned at different locations on the individual's body (e.g., wrist, ankle, chest). Each device has sensors specifically optimized for detecting falls at its location, and the system evaluates fall likelihood based on the combined information from these location-specific devices, thereby improving overall detection reliability without requiring a single complex device
Solution Approach 2:
The patent merges multiple fall detection devices into a unified system that processes data from all devices simultaneously. The user device receives fall likelihood indications from multiple fall detection devices and combines this information to determine whether a fall has occurred, achieving higher reliability through aggregation of multiple independent detection sources
2Measurement precision
If fall detection models are continuously updated with user feedback, then the measurement precision of fall detection improves, but the loss of time for model updates increases
Solution Approach 1:
The patent implements feedback by requesting user confirmation or correction when a fall is detected. The user device asks the individual to confirm whether a fall occurred, and this feedback is used to update the fall detection models. This feedback mechanism continuously improves measurement precision by correcting false positives and refining detection algorithms based on actual user experience
Solution Approach 2:
The system performs preliminary actions by pre-configuring fall detection models with initial parameters and thresholds before deployment. The models are prepared to immediately begin detecting falls and receiving user feedback, minimizing the time required for initial setup and enabling continuous improvement from the start of use
3Reliability
If multiple redundant fall detection devices are used, then the reliability of fall detection improves, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing fall detection devices that can be worn on multiple body parts and serve multiple functions. Each device contains the same core components (sensors, processor, memory) and can detect falls at its location, while the system as a whole provides comprehensive coverage. This modular universal design improves reliability through redundancy without proportionally increasing complexity, as each unit is identical and interchangeable
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
The system effectively reduces the risk of delayed medical attention by accurately detecting falls and improving response times through continuous model updates and notification mechanisms, enhancing the accuracy of fall detection over time.
Implementation Method 1
The fall detection device 300 includes a movement sensor 302, a height sensor 304, a fall detection processor(s) 306, memory 308, an energy dispensing device 312 (e.g., battery), and/or a communication interface 314
Data Source
AI summary
In some instances, a fall detection system comprising a first fall detection device and a user device is provided. The fall detection device is configured to: detect an occurrence of a fall event associated with an individual based on sensor information from the one or more sensors and a fall detection model; and provide a first indication indicating the occurrence of the fall event. The user device is configured to: receive the first indication; cause display of a prompt requesting user feedback as to whether the individual fell based on the first indication and a second indication from a second fall detection device; provide update information indicating for the first fall detection device to update the fall detection model based on the user feedback; and provide user fall information associated with the occurrence of the fall event based on the user feedback.