RF Vibration Sensor Using Signal Attribute Mapping
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Solution Overview
Problem
Biofeedback and vibration measurement systems require significant hardware and circuitry, making them cumbersome and invasive, while existing vibration sensing technologies lack efficiency in capturing micro-movements and stress indicators without additional hardware.
Innovation Solution
An RF vibration sensing technique that utilizes radio frequency communication to capture vibration information by analyzing variations in RF signal attributes between a source and a sensor, which can be integrated into wearable devices without additional hardware, allowing for the detection of physical movements and stress levels through relative relaxation indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vibration sensors and biofeedback systems are used, then vibration and stress measurement precision is achieved, but device complexity and hardware requirements increase significantly
Solution Approach 1:
The RF communication system is designed to perform multiple functions: primary RF communication and secondary vibration sensing. The existing RF receiver circuitry is utilized for both its intended communication purpose and for detecting vibration-induced signal variations, eliminating the need for dedicated vibration sensing hardware and reducing overall device complexity.
Solution Approach 2:
The system uses its own RF communication infrastructure to serve the additional function of vibration sensing. The RF receiver, already present for communication, automatically captures vibration information through signal attribute variations caused by physical motion, requiring no additional sensors or hardware components.
2Measurement precision
If additional vibration sensing hardware is added, then measurement precision improves, but ease of operation and wearability deteriorate
Solution Approach 1:
The RF communication components serve dual purposes: maintaining wireless communication and detecting micro-movements. This eliminates the need for additional sensors that would increase device bulk and reduce wearability, while still achieving high-precision vibration and stress measurement through signal attribute analysis.
3Device complexity
If RF signal attribute variations are analyzed, then hardware requirements are reduced, but measurement precision for vibration detection must be maintained
Solution Approach 1:
The system replaces traditional mechanical vibration sensors with an RF-based detection method. Instead of using physical sensors to detect vibrations, the system analyzes variations in RF signal attributes (amplitude, frequency, phase) caused by physical motion between the transmitter and receiver, achieving vibration detection without mechanical sensing components.
Solution Approach 2:
The system monitors changes in RF signal parameters (amplitude, frequency, phase) that occur due to vibration-induced motion. By tracking these parameter variations over time, the system extracts vibration information with high precision while using only the existing RF communication hardware.
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 non-invasive monitoring of stress and physical movements with high fidelity, reducing hardware requirements and providing real-time biofeedback, while also applicable for predicting mechanical failures and optimizing equipment performance.
Implementation Method 1
an RF receiver circuit (110) configured to receive an RF input signal (102)
Implementation Method 2
the attribute of the RF input signal (102) varies based on a physical motion (106) between the vibration sensor (101) and a RF source (108) transmitting the RF input signal (102)
Data Source
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AI summary
One example discloses a vibration sensor, comprising: an RF receiver circuit configured to receive an RF input signal; an RF signal characterization circuit configured to measure an attribute of the RF input signal over a set time-period; wherein the attribute of the RF input signal varies based on a physical motion between the vibration sensor and an RF source transmitting the RF input signal; and a vibration profiling circuit configured to map the attribute of the RF input signal to a vibration level.