Radar Fall Detection on Uneven Surfaces
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting fall events on uneven surfaces, such as stairs, due to natural height changes of objects traversing these surfaces, which can lead to false notifications or delayed responses.
Innovation Solution
The use of radar-based systems with electronic devices equipped with radar transmitters and receivers to generate and analyze point clouds of energy intensity changes, determining velocity and height changes to differentiate between normal movement and fall events, employing machine-learning models for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If height change detection is used to detect falls on uneven surfaces, then fall detection capability is provided, but false notifications occur due to natural height changes of objects traversing the surface
Solution Approach 1:
The patent segments the detection task into multiple independent components: point cloud generation from radar data, velocity calculation, height change measurement, and fall event determination. Each component processes specific aspects of the data independently before integrating results, allowing the system to distinguish between normal height changes and actual fall events through multi-parameter analysis rather than relying on height alone
Solution Approach 2:
The system transitions from single-parameter height detection to multi-parameter analysis including velocity, height change rate, and point cloud characteristics. By monitoring changes in multiple parameters simultaneously and comparing them against threshold values, the system can accurately differentiate between normal movement (where velocity and height changes are moderate) and fall events (where velocity and height changes exceed thresholds)
2Reliability
If radar-based velocity and height analysis is implemented, then false alarms are reduced, but device complexity increases
Solution Approach 1:
The radar system is designed to perform multiple functions: generating point clouds for spatial mapping, calculating velocity through Doppler shift analysis, measuring height changes, and detecting fall events. By making the radar system multi-functional rather than adding separate sensors for each function, the patent reduces overall system complexity while maintaining high detection accuracy
Solution Approach 2:
The system creates a digital representation (point cloud) of the physical environment and object movements. This computational model allows the system to analyze velocity and height changes without requiring additional physical sensors, reducing hardware complexity while enabling sophisticated fall detection through software-based analysis of the replicated spatial data
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
Enables accurate detection of fall events on uneven surfaces, reducing false alarms and ensuring timely responses by analyzing energy distribution and velocity changes, and allowing for communication with emergency services.
Implementation Method 1
radar-based systems with electronic devices equipped with radar transmitters and receivers
Implementation Method 2
electromagnetic waves in the radio or microwave domain... reflected energy
Data Source
AI summary
Systems and methods for fall detection on uneven surfaces utilizing radar are disclosed. For example, an electronic device may receive reflected energy from surfaces in an environment. Corresponding sensor data associated with an object moving on an uneven surface may be utilized to determine a velocity of the object and a height change of the object. When the velocity indicates that the object has stopped moving toward or away from the sensing device, and the height values indicate a sudden decrease in height, a fall event may be detected.