Head-Mounted Thermal Camera for Atypical Behavior Detection
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Solution Overview
Problem
Current methods for detecting deception and illicit activities rely on physiological responses like blood flow and stress levels, but they are not effectively used to identify typical and atypical behaviors in daily activities, lacking real-time monitoring and biometric analysis.
Innovation Solution
The use of inward-facing head-mounted thermal cameras to monitor users' physiological responses, such as stress levels and gaze patterns, to create models of typical behavior and detect atypical activities, providing real-time alerts for potential illicit actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal cameras are used to monitor physiological responses in real-time, then detection accuracy of illicit activities is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent replaces complex mechanical monitoring systems with thermal imaging technology. Thermal cameras detect physiological responses (blood flow changes, temperature variations) through non-contact infrared sensing, eliminating the need for physical sensors attached to the body. This substitution maintains high detection accuracy while reducing mechanical complexity and improving user comfort.
Solution Approach 2:
The system introduces thermal imaging as an intermediary between the user and the detection system. Instead of direct contact sensors that complicate the system, thermal cameras capture physiological data through thermal radiation intermediaries, simplifying the overall system architecture while preserving measurement precision.
2Measurement precision
If thermal cameras are used to monitor physiological responses, then detection accuracy of illicit activities is improved, but ease of operation deteriorates
Solution Approach 1:
The system replaces complex mechanical monitoring equipment with passive thermal imaging. Users simply wear a head-mounted device that automatically captures thermal data without requiring user interaction or calibration, maintaining high detection accuracy while improving ease of operation through automation.
Solution Approach 2:
The thermal monitoring system operates autonomously without requiring user intervention. The head-mounted camera continuously captures physiological data and the system automatically analyzes thermal patterns to detect illicit activities, eliminating the need for manual operation while preserving measurement precision.
3Speed
If head-mounted thermal cameras are used for continuous monitoring, then real-time detection capability is improved, but weight of moving object increases
Solution Approach 1:
The system uses partial thermal monitoring by focusing thermal cameras on specific regions of interest (face, neck) rather than full-body scanning. This selective approach enables real-time detection of physiological changes indicative of illicit activities while minimizing the weight and complexity of the head-mounted device through targeted rather than comprehensive monitoring.
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
This approach allows for the detection of elevated stress and anxiety levels indicative of illicit activities, offering a powerful biometric tool for security systems to identify suspicious behavior in real-time, improving accuracy and reliability.
Implementation Method 1
increased levels of adrenaline are secreted to regulate blood flow. Redistribution of blood flow in superficial blood vessels causes changes in local skin temperature that are apparent in the user's face
Data Source
AI summary
System and method that identify atypical behavior of a user. One embodiment of the system includes an eye tracker to perform tracking of a user's gaze while viewing items, an inward-facing head-mounted thermal camera to take thermal measurements of a region of interest on the face (THROI) of the user, and a computer. The computer generates feature values based on THROI and the tracking, and utilizes a model to identify atypical behavior of the user based on the feature values. The model may be trained based on previous tracking and previous THROI of the user, taken while viewing other items.