RF Backscattering Spatial Heat Map for Fall Detection
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Solution Overview
Problem
Conventional techniques for monitoring people within a home or building environment, such as cameras and wearable devices, fail to provide a reliable and high-quality signal for detecting falls or other life activities, as they are often forgotten or have power issues, and elderly individuals may not want to wear monitoring devices due to stigma concerns.
Innovation Solution
A system using a plurality of antenna arrays and multi-core processors with artificial intelligence processes to capture and process UWB and FMCW signals, creating a spatial map of a region to monitor human activities without wearables, utilizing RF backscattering and sensor fusion to detect movements and vital signs, and providing a non-intrusive method for tracking individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cameras or wearable devices are used for monitoring, then monitoring capability is provided, but reliability deteriorates due to being forgotten or power issues
Solution Approach 1:
The patent replaces mechanical/wearable monitoring devices with a radar-based electromagnetic sensing system. The radar system uses electromagnetic waves to detect human presence, movement, and vital signs without requiring physical contact or wearable components, thereby eliminating compliance issues while maintaining monitoring reliability.
Solution Approach 2:
The patent introduces RF signals as an intermediary medium to detect human activities. Instead of direct visual observation or wearable sensors, the system uses radio frequency signals that interact with the human body and environment to infer presence, movement, and physiological states, providing reliable monitoring without user intervention.
2Measurement precision
If multiple sensor types are integrated, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent combines multiple sensing modalities (UWB radar, FMCW radar, audio sensors, motion sensors) into a unified monitoring system. By merging these different sensor types that operate on different physical principles, the system achieves comprehensive detection capability for presence, movement, falls, and vital signs, improving measurement precision through multi-parameter observation.
Solution Approach 2:
The patent creates a multi-functional monitoring system where a single integrated platform performs diverse functions including presence detection, fall detection, vital sign monitoring, and activity recognition. The system uses multiple sensor types (UWB, FMCW, audio, motion) that can serve various monitoring purposes simultaneously, reducing the need for separate specialized devices.
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 tracks human movements and vital signs, detects falls, and monitors activities without the need for wearables, offering a reliable and high-quality signal while addressing the stigma concerns of traditional monitoring devices.
Implementation Method 1
utilizing RF backscattering and sensor fusion to detect movements and vital signs
Data Source
AI summary
In an example, the present technique includes a method for capturing information from a spatial region to monitor human activities and create a spatial map of the spatial region. In an example, the technique allows a user of a cell phone to move from one location to another location and be tracked using rf backscattering, and each location being identified by the user by communicating a label via a cell phone or other mobile device.