Living Object Detection via Fourier Amplitude Variance
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Solution Overview
Problem
Existing methods for detecting the position of a living object are limited in scenarios, particularly in search and rescue and health monitoring, as they are not effective for static objects or environments with multiple living bodies, and are prone to failure in scenario changes.
Innovation Solution
A method and apparatus using Fourier transform amplitude values of radio signals to calculate a distance matrix, which reflects the probability of a living object's existence in specific distance ranges, allowing for the detection of static living objects in multiple scenarios by determining the variance of these amplitude values over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If target tracking-based detection method is used, then moving target detection is improved, but static living object detection deteriorates
Solution Approach 1:
The patent transforms the static background removal approach into a dynamic detection method by continuously monitoring temporal variations in Fourier transform amplitude values. This allows the system to adaptively detect both moving and static living objects by detecting physiological signal-induced variations over time, rather than relying on fixed tracking algorithms that fail for static targets.
Solution Approach 2:
The patent changes the detection parameter from target position tracking to Fourier transform amplitude value analysis. By monitoring the temporal variations of amplitude values at different distance ranges, the system can detect living objects through physiological signals (breathing, heartbeat) that cause subtle changes in reflected radio signal characteristics, enabling detection of both moving and static targets.
2Ease of manufacture
If detection method based on reflected signal intensity is used, then simple scenario detection is improved, but detection in scenes with multiple living bodies deteriorates
Solution Approach 1:
The patent segments the detection space into multiple distance ranges and creates a distance matrix where each element corresponds to a specific distance range. This segmentation allows the system to independently analyze Fourier transform amplitude variations for each distance range, enabling accurate detection of multiple living bodies at different distances without mutual interference.
Solution Approach 2:
The patent introduces a temporal dimension by monitoring the variation of Fourier transform amplitude values over time. This transforms the detection from a single-point measurement to a time-series analysis, allowing the system to distinguish living objects from non-living objects based on physiological signal-induced temporal variations, even in complex scenes with multiple targets.
3Stability of the object's composition
If static background removal method is used, then stable environment detection is improved, but scenario change detection deteriorates
Solution Approach 1:
The patent replaces static background removal with a dynamic detection approach that continuously monitors temporal variations in Fourier transform amplitude values. This dynamic method automatically adapts to scenario changes because it detects living objects based on their physiological signals rather than assuming a static background, making the system robust to environmental changes while maintaining stability through consistent detection criteria.
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 enables the detection of a living object's position in various scenarios, including those with multiple living bodies, with improved accuracy and reliability, as it is less dependent on specific conditions and can handle static objects effectively.
Implementation Method 1
a radio signal transmission source may be used to transmit a radio signal, such as an electromagnetic wave, to the object
Implementation Method 2
Fourier transform amplitude values of radio signals received by the radio signal receiver
Data Source
AI summary
Embodiments of this disclosure provide a living object detection method and apparatus and electronic device. The apparatus includes a processor to calculate a distance matrix according to variance of Fourier transform amplitude values of radio signals received by a radio signal receiver within a determined period of time; and to calculate a distance between an object among objects and the radio signal receiver according to the distance matrix. According to this disclosure, a position of a living object among the objects may be detected based upon the distance in multiple scenarios.