Eye Temperature Sensor for Core Body Estimation
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Solution Overview
Problem
Existing body temperature estimation models are over-engineered for resting states and require numerous sensors across the entire body, making them complex and impractical for use in wearable devices.
Innovation Solution
A body temperature estimation device that measures the temperature of the eye's lacrimal caruncle using a thermal camera or thermocouple, employing a simplified body temperature estimation model with fewer nodes to estimate core body temperature through heat conduction simulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive body temperature estimation model with multiple sensors is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the essential measurement function from a comprehensive multi-sensor system and concentrates it into a single eye temperature sensor. By taking out only the necessary measurement capability and removing unnecessary sensors from other body parts, the system achieves simplified device complexity while maintaining adequate measurement precision for core body temperature estimation.
Solution Approach 2:
The eye temperature measurement serves multiple functions: it provides core body temperature estimation, eliminates the need for multiple body sensors, and enables wearable device application. This multi-functional approach resolves the contradiction by making a single measurement point serve the purpose of what would traditionally require multiple sensors distributed throughout the body.
2Measurement precision
If a comprehensive body temperature estimation model is used, then measurement precision is improved, but computational complexity increases
Solution Approach 1:
The patent extracts the essential thermal conduction modeling from comprehensive multi-region simulations and applies it specifically to the eye-body thermal coupling. By taking out only the necessary thermal conduction equations relevant to eye and body temperature interaction, the system reduces computational complexity while maintaining precision through focused modeling rather than overly comprehensive modeling.
Solution Approach 2:
The patent changes the modeling parameters from comprehensive multi-region thermal parameters to a simplified set focusing on eye and body temperature coupling. By adjusting the parameter scope to only include essential thermal conduction parameters between the eye and body, the system achieves reduced computational complexity while preserving measurement precision through targeted parameter optimization.
3Device complexity
If a simplified body temperature estimation model is used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by focusing the thermal conduction model specifically on the eye-body interface rather than treating the entire body uniformly. This localized modeling approach maintains measurement precision for core body temperature estimation while significantly reducing overall model complexity, as the simplified model only needs to accurately represent the critical thermal coupling region between the eye and body.
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 easier and more accurate body temperature estimation, reducing computational complexity and sensor requirements, making it feasible for wearable devices.
Implementation Method 1
measures a temperature of an eye
Implementation Method 2
simulating heat conduction
Data Source
AI summary
A body temperature estimation device includes a measurement unit that measures a temperature of an eye of an animal, and a body temperature estimation unit that estimates a core body temperature of the animal by setting the temperature measured by the measurement unit in a body temperature estimation model and simulating heat conduction.