Wearable Fall Detection System Using Composite Sensor Indices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wearable devices for detecting falls and related risky situations in elderly individuals are hindered by issues such as unsightly design, discomfort, high power consumption, and poor detection reliability, leading to false alarms and reduced user adherence.
Innovation Solution
A lightweight, autonomous system using a limited number of sensors, including a triaxial accelerometer and barometric sensor, connected to a microprocessor for data analysis and alarm triggering, which computes composite indices from multiple parameters to enhance detection accuracy and reduce false alarms, while maintaining a compact and aesthetically pleasing design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are integrated to improve detection reliability, then detection precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent integrates multiple sensors (accelerometer, gyroscope, barometric pressure sensor, temperature sensor) into a single wearable device that performs multiple functions: fall detection, drowsiness detection, dehydration detection, and environmental monitoring. This multi-functional approach improves detection reliability across various risky situations while consolidating what would otherwise be separate devices.
Solution Approach 2:
The patent combines multiple sensing functions and processing units into an integrated wearable system. The accelerometer and gyroscope detect both falls and drowsiness events, while the barometric and temperature sensors monitor environmental conditions. This merging of functions into a single device reduces overall system complexity compared to using separate devices for each detection function.
2Measurement precision
If multiple sensors are integrated to improve detection reliability, then detection precision is improved, but power consumption increases
Solution Approach 1:
The system employs periodic sampling of sensor data rather than continuous monitoring. The microprocessor analyzes sensor readings at specific intervals to detect falls, drowsiness, and dehydration events. This periodic action reduces power consumption compared to continuous monitoring while maintaining adequate detection reliability for safety-critical functions.
Solution Approach 2:
The patent uses algorithmic processing and composite index calculations to replace more power-intensive continuous sensor activation. By processing sensor data periodically and using composite indices that combine multiple sensor readings, the system achieves reliable detection with lower overall power consumption than continuous monitoring would require.
3Ease of operation
If device size is reduced for wearability, then ease of operation is improved, but the number of sensors that can be integrated is limited
Solution Approach 1:
The patent employs miniaturized sensor modules and integrated circuits that nest multiple sensing functions within a compact form factor. The wearable device integrates accelerometer, gyroscope, barometric pressure sensor, and temperature sensor in a small package that can be comfortably worn on the body, maintaining detection reliability through sophisticated algorithms rather than simply increasing sensor count.
Solution Approach 2:
The system uses advanced signal processing and composite index calculations to extract reliable detection information from limited sensor data. By changing the processing parameters and using multi-parameter composite indices that combine readings from multiple sensors, the system maintains high detection reliability despite the compact size and limited sensor integration capacity.
4Ease of operation
If aesthetic design is prioritized to improve user adherence, then ease of operation is improved, but device complexity may increase
Solution Approach 1:
The wearable device is designed as a multi-functional safety system that combines fall detection, drowsiness detection, dehydration detection, and environmental monitoring in a single aesthetic unit. This universal approach allows the device to maintain simple, user-friendly form factor while providing comprehensive safety functions through integrated sensors and algorithms.
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 detects falls and fall-prone situations, reduces false alarms, and extends battery life, ensuring reliable and user-friendly monitoring of risky conditions.
Implementation Method 1
a triaxial accelerometer
Implementation Method 2
a barometric sensor
Data Source
AI summary
A method for preventing and detecting a fall of an individual and implementing a system worn by the individual. The system includes a plurality of sensors and an alarm. The plurality of sensors includes a triaxial accelerometer and a barometric sensor. Each sensor of the plurality of sensors generates a signal and is connected to a microprocessor. The microprocessor is configured to execute a computer program stored in a memory to collect and analyze data issued by the plurality of sensors, and to trigger an alarm in response to an analysis of the data.


