Dual-Shape Capacitive Proximity Sensing for Human Body Discrimination
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Solution Overview
Problem
Existing electronic devices with RF EMF emissions struggle to differentiate between human bodies and non-human objects in proximity, leading to potential harmful exposure when radiation power is high or exposure is prolonged.
Innovation Solution
A system comprising two capacitive sensors of different shapes and an electronic component that processes capacitance values to discriminate between human bodies and non-human objects, reducing RF EMF emissions when a human body is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single capacitive sensor is used to detect objects in proximity, then the device complexity is low, but the ability to differentiate between human bodies and non-human objects is insufficient
Solution Approach 1:
The system divides the detection task into multiple independent sensor units, each with different shapes. Instead of using one complex sensor, the patent employs multiple simpler sensors (first capacitive sensor with first shape, second capacitive sensor with second shape) that work together to achieve accurate object differentiation through comparative analysis of their respective capacitance measurements.
Solution Approach 2:
The patent introduces an additional dimension of differentiation by varying the shape characteristic of the sensors. The first sensor has a first shape while the second sensor has a second shape, creating shape-based dimensional diversity that enables the system to distinguish between human bodies and non-human objects by comparing how different shapes interact with the detected objects.
2Power
If RF EMF emissions are maintained at high power, then communication performance is improved, but harmful exposure to human bodies increases
Solution Approach 1:
The system performs preliminary detection of human bodies using the capacitive sensors before initiating or maintaining high-power RF EMF emissions. By detecting the presence of a human body in advance through capacitance measurements, the system can prevent harmful exposure by avoiding high-power emissions when a human is nearby, thus resolving the contradiction between communication performance and safety.
Solution Approach 2:
The system continuously monitors capacitance values from the sensors and uses this feedback to dynamically adjust RF EMF emission power. When the sensors detect a human body through characteristic capacitance patterns, the feedback mechanism triggers a reduction in emission power, ensuring that high power is only used when safe, thereby balancing communication needs with human safety.
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
Effectively reduces RF EMF radiation exposure to humans by accurately differentiating between human bodies and inanimate objects, meeting stringent emission regulations and safety standards.
Implementation Method 1
The first sensor has a first shape and detects a first capacitance related to an object. The second sensor has a second shape different from the first shape and detects a second capacitance related to the object.
Data Source
AI summary
Described herein are systems, methods and apparatuses that can detect the proximity of an object and differentiate between a human body and a non-human object. The detection and differentiation are facilitated by a first capacitive sensor of a first shape and a second capacitive sensor of a second shape. The detection and determination can be made based on a comparison between a first capacitance from the first sensor and a second capacitance from the second sensor.