Accelerometer-Based Fall Detection System
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Solution Overview
Problem
Current body movement monitoring systems face challenges in long-term autonomy due to high power consumption by gyroscopes, hindrance to natural movements from bulky sensors, and low accuracy in gait parameter computation, especially for elderly individuals, and lack an objective method for remotely monitoring the risk of falling.
Innovation Solution
A body movement monitoring system using tri-axial or mono-axial accelerometers attached to the upper body, with software-based algorithms that process acceleration signals to monitor physical activity, detect falls, and assess the risk of falling, providing high accuracy and long-term autonomy without initial calibration, and minimizing hindrance to movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gyroscopes are used to measure body movement, then measurement precision is improved, but use of energy increases and device complexity increases
Solution Approach 1:
The patent combines multiple mono-axial accelerometers to perform the functions previously requiring a single gyroscope. By merging multiple simple sensors rather than using one complex sensor, the system achieves comparable measurement capability with lower power consumption and reduced device complexity
Solution Approach 2:
The patent replaces gyroscope-based mechanical sensing with accelerometer-based sensing. This substitution uses a different physical principle (acceleration measurement vs. rotational rate measurement) to achieve the same ultimate goal of determining body movement and posture with less energy consumption
2Measurement precision
If gyroscopes are used to measure body movement, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the measurement function into multiple independent mono-axial accelerometers rather than using a single integrated gyroscope. Each accelerometer handles a specific axis independently, simplifying the overall device architecture while maintaining measurement precision through coordinated data processing
Solution Approach 2:
The patent replaces the complex gyroscope mechanical system with simpler accelerometer-based sensing. This substitution eliminates the need for complex gyroscopic mechanisms while achieving the same functional outcome through alternative physical measurement principles
3Measurement precision
If bulky sensors are used to monitor physical activity, then measurement precision is improved, but ease of operation deteriorates due to hindrance of natural movements
Solution Approach 1:
The patent extracts the essential measurement function from bulky sensor packages and implements it using smaller, lighter mono-axial accelerometers. By taking out only the necessary sensing capability and removing unnecessary bulk, the system maintains measurement precision while significantly improving ease of operation and user comfort
Solution Approach 2:
The patent replaces bulky mechanical sensors with compact accelerometer-based sensing systems. This substitution uses lighter, smaller components that minimize interference with natural body movements while maintaining the ability to accurately monitor physical activity
4Ease of operation
If current gait analysis methods are used, then ease of operation is maintained, but measurement precision deteriorates due to rotational artifacts
Solution Approach 1:
The patent replaces vertical accelerometer-based gait detection with a multi-axis accelerometer system that measures acceleration in multiple directions. This substitution eliminates rotational artifacts by capturing movement data from multiple axes, allowing for more accurate gait parameter computation while maintaining ease of operation through non-intrusive sensing
5Ease of operation
If current fall detection systems are used, then ease of operation is maintained, but reliability deteriorates due to false detections
Solution Approach 1:
The patent replaces simple acceleration-threshold-based fall detection with a comprehensive analysis system that evaluates multi-axis acceleration patterns, posture transitions, and gait characteristics. This substitution uses sophisticated pattern recognition to distinguish true falls from false triggers, significantly improving reliability while maintaining ease of operation through automated analysis
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 achieves high accuracy in monitoring physical activity, detecting falls, and assessing the risk of falling with minimal hindrance to the user, providing reliable and objective data for health monitoring and preventive measures.
Implementation Method 1
a sensing unit, attachable to the upper part of the user's body, such as trunk or shoulder, comprising a tri-axial accelerometer, or, three mono-axial accelerometers measuring accelerations in three perpendicular directions
Data Source
AI summary
The present invention relates to a light-weight, small and portable ambulatory sensor for measuring and monitoring a person's physical activity. Based on these measurements and computations, the invented system quantifies the subject's physical activity, quantifies the subject's gait, determines his or her risk of falling, and automatically detects falls. The invention combines the features of portability, high autonomy, and real-time computational capacity. High autonomy is achieved by using only accelerometers, which have low power consumption rates as compared with gyroscope-based systems. Accelerometer measurements, however, contain significant amounts of noise, which must be removed before further analysis. The invention therefore uses novel time-frequency filters to denoise the measurements, and in conjunction with biomechanical models of human movement, perform the requisite computations, which may also be done in real time.