RF Backscatter Activity Monitoring via Antenna Arrays
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Solution Overview
Problem
Existing techniques for monitoring human activity, such as using cameras or wearable devices, are unreliable and inconvenient, particularly for elderly individuals who may forget to wear pendants or prefer not to appear elderly.
Innovation Solution
A system utilizing a plurality of antenna arrays to process audio, motion, ultra wide band, and frequency modulated continuous wave signals, combined with artificial intelligence techniques, to detect and monitor human activities in real-time without the need for wearable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cameras or wearable devices are used for monitoring human activity, then monitoring capability is provided, but reliability deteriorates due to user compliance issues
Solution Approach 1:
The patent replaces mechanical/wearable monitoring devices with an electromagnetic field-based sensing system. The system uses antenna arrays to detect backscattered RF signals from the human body, which naturally carry information about motion, falls, and vital signs without requiring any physical contact or user action. This substitution eliminates compliance issues entirely while maintaining high monitoring reliability.
Solution Approach 2:
The system enables the monitored person's body to serve as the sensing target itself. The human body naturally interacts with electromagnetic fields through motion and physiological changes, allowing the system to extract monitoring data passively without requiring the user to wear or operate any devices. The body's own electromagnetic properties and movements become the source of monitoring information.
2Ease of operation
If wearable pendants are used for fall detection, then detection capability is provided, but ease of operation deteriorates due to forgetting to wear or power issues
Solution Approach 1:
The patent replaces wearable electronic pendants with a non-contact electromagnetic sensing system. The antenna arrays detect falls and motion through changes in backscattered RF signals from the body, eliminating the need for batteries, charging, or user activation. This provides both exceptional ease of operation (nothing to wear or maintain) and high detection reliability (continuous passive monitoring).
3Measurement precision
If multiple antenna arrays and AI processing are used, then measurement precision improves for activity detection, but device complexity increases
Solution Approach 1:
The patent divides the sensing system into multiple antenna arrays that can be spatially distributed and independently configured. Each antenna array processes specific aspects of the backscattered signals, and the AI module segments different types of analysis (motion detection, fall detection, vital sign monitoring). This segmentation allows high measurement precision through coordinated processing while managing complexity through modular architecture.
Solution Approach 2:
The patent introduces an AI processing module as an intermediary between the antenna arrays and the activity detection functions. The AI module receives raw backscattered signals from multiple antennas, performs sophisticated pattern recognition and feature extraction, and outputs interpreted activity information. This intermediary handles the computational complexity internally, allowing the overall system to achieve high measurement precision while presenting a simplified interface and functionality.
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 provides a reliable and high-quality signal for detecting falls and other life activities, overcoming the limitations of existing technologies by offering a non-intrusive and scalable solution for monitoring human activity.
Implementation Method 1
generating a plurality of rf signals numbered from 1 to N... from, respectively, a plurality of rf sources numbered from 1 to N... transferring the plurality of rf signals to a predetermined space... receiving a stream of back scattered signals derived from each of the rf signals
Implementation Method 2
processing each stream of the backscattered signals, using a digital signal processor, at a predetermined time to normalize the stream of backscattered signals to form a normalized signal
Data Source
AI summary
In an example, the present invention provides a method for processing rf backscattered signals. The method includes generating a plurality of rf signals numbered from 1 to N, where N is an integer greater than 1, from, respectively, a plurality of rf sources numbered from 1 to N. In an example, each of the rf sources is an antenna. In an example, the method includes transferring the plurality of rf signals to a predetermined region of space. The method includes receiving a stream of back scattered signals derived from each of the rf signals numbered from 1 to N from the predetermined space, each stream of back scattered signals being one of a plurality of backscattered signals numbered 1 to N corresponding, respectively, to the plurality of rf sources numbered from 1 to N. The method includes processing each stream of the backscattered signals, using a digital signal processor, at a predetermined time to normalize the stream of backscattered signals to form a normalized signal corresponding to the stream of the backscattered signals and outputting a plurality of normalized signals numbered from 1 to N corresponding, respectively, to the plurality of back scattered signals, numbered from 1 to N.