RF Sensing Event Detection via Dynamic Signal Characteristic Adjustment
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Solution Overview
Problem
Existing RF-based sensing technologies are primarily designed to detect human presence and struggle to identify other events that may cause changes in radio frequency signals, such as large bodies of water or metal objects.
Innovation Solution
A system and method that utilize RF-based sensing to detect changes in radio frequency signals, allowing for the identification of events other than human presence by adjusting transmission and reception characteristics and using multiple signal sets to determine the cause of signal changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RF-based sensing is trained and tuned to detect human presence, then detection accuracy for human presence is improved, but the system cannot detect other events such as water movements or metal objects
Solution Approach 1:
The system dynamically adjusts transmission and reception characteristics based on the detected event type. Different sets of characteristics are applied for human presence detection versus other event detection, allowing the system to optimize performance for the current detection task while maintaining versatility across multiple event types
Solution Approach 2:
The patent changes transmission and reception parameters (such as frequency, power, antenna configuration) depending on the detection mode. By modifying these parameters, the system can accurately detect both human presence and other events like water or metal objects using the same RF infrastructure
2Device complexity
If a single set of transmission and reception characteristics is used, then system complexity is reduced, but the system cannot accurately detect different types of events
Solution Approach 1:
The detection process is segmented into different phases with different transmission and reception characteristics. The system divides the monitoring task into multiple signal sets, each optimized for specific event types, allowing accurate detection without requiring a single complex configuration to handle all scenarios
Solution Approach 2:
The RF sensing system is designed to perform multiple functions using a common infrastructure. By programmatically adjusting transmission and reception characteristics, the same hardware can detect human presence, water movements, metal objects, and other events, achieving multi-functionality without duplicating hardware for each event type
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 the detection and classification of various events, such as water movements or metal objects, beyond human presence, improving the versatility and accuracy of RF-based sensing systems.
Implementation Method 1
measuring changes in metrics of wireless messages (e.g. between IoT devices)... variations in signal strength or Channel State Information (CSI)... a person or a group of people can be detected
Data Source
AI summary
A system (1) is configured to cause a first set of one or more radio frequency signals to be transmitted with a first transmission characteristic and/or a first reception characteristic, e.g. by lighting devices (31-37), detect whether changes in said first set of radio frequency signals are caused by a human (49) presence, detect whether the changes in the first set of radio frequency signals have a further cause, and cause a second set of one or more radio frequency signals to be transmitted with a second transmission characteristic and/or received with a second reception characteristic upon detecting that the changes in the first set of radio frequency signals have a further cause. The system is further configured to identify the further cause based on changes in the second set of radio frequency signals and provide output comprising the further cause or in dependence on the further cause.