Passive Biometric Sensing With E-Field Body Communication
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Solution Overview
Problem
Existing technologies for monitoring body conditions, such as physical activities, rest patterns, and vital signs, often require wired connections, batteries, and predictive algorithms, leading to inaccuracies, high power consumption, and limited durability.
Innovation Solution
A personal monitoring system utilizing e-field communication and passive biometric sensors that harvest power from RF signals, motion, and other environmental factors, eliminating batteries and wires, and providing real-time, high-resolution data collection with a high signal-to-noise ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If wired connections and batteries are used in monitoring systems, then power supply and data transmission are achieved, but device complexity and loss of freedom of movement increase
Solution Approach 1:
The patent replaces mechanical wired connections with electromagnetic field-based wireless communication. Sensors transmit data through the body using e-field signals, eliminating the need for physical wires and batteries while maintaining power supply and data transmission capabilities.
Solution Approach 2:
The body itself serves as an intermediary medium for signal transmission. Electromagnetic signals are transmitted through body tissues to communicate between sensors and processing units, eliminating the need for external wires and batteries.
2Productivity
If predictive algorithms are used to monitor body conditions, then data processing is achieved, but measurement precision and reliability deteriorate
Solution Approach 1:
The system uses real-time feedback from continuous sensor measurements to dynamically adjust monitoring parameters and provide immediate insights into body conditions, replacing predictive algorithms with direct, real-time data-driven monitoring that improves measurement precision.
3Reliability
If continuous monitoring is implemented, then real-time data collection is achieved, but power consumption increases
Solution Approach 1:
The system employs periodic sampling at variable rates rather than continuous monitoring. The sampling rate adjusts dynamically based on activity level and monitoring needs, maintaining real-time data collection capability while significantly reducing power consumption during low-activity periods.
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 achieves highly accurate, real-time monitoring of biomechanical expressions and physiological responses with minimal power consumption, durability, and ease of use, offering a complete data set for improved personal health and performance analysis.
Implementation Method 1
passive biometric sensors that harvest power from RF signals
Implementation Method 2
e-field communication and passive biometric sensors
Data Source
AI summary
A personal monitoring system includes one or more passive biometric sensors and a communication device. A passive biometric sensor is operable to sense a body condition of a body in accordance with a sense signal at a sense frequency to produce sensed data of a body condition. The passive biometric sensor is further operable to transmit an e-field signal via the body regarding the sensed data, wherein the e-field signal is in accordance with an e-field transmit/receive frequency. The communication device is operable to receive the e-field signal via the body. The communication device is further operable to recover the sensed data from the received e-field signal.