Wearable Temperature Sensor Calibration for Drift-Accurate Readings
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Solution Overview
Problem
Uncalibrated temperature sensors in wearable devices lead to inaccurate temperature readings and derived insights.
Innovation Solution
Implementing a calibrated temperature sensor in wearable devices to calibrate uncalibrated temperature sensors using a primary sensor, with triggers based on conditions such as stable temperature, lack of motion, charging, elapsed time since last calibration, and user commands, ensuring accurate temperature measurements across various orientations and over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If uncalibrated temperature sensors are used in wearable devices, then manufacturing costs are reduced, but temperature measurement accuracy deteriorates
Solution Approach 1:
The system performs preliminary calibration actions by storing calibration data in lookup tables during manufacturing. These pre-computed calibration parameters allow the uncalibrated sensors to provide accurate temperature readings without requiring real-time calibration procedures, thus maintaining low manufacturing costs while improving measurement accuracy.
Solution Approach 2:
The patent introduces calibration lookup tables as an intermediary between the uncalibrated temperature sensors and the final temperature readings. These tables contain pre-computed correction factors that mediate the transformation of raw sensor data into accurate temperature values, resolving the accuracy issue without requiring expensive calibrated sensors.
2Measurement precision
If calibration operations are performed frequently to maintain accuracy, then temperature measurement accuracy is improved, but device complexity and power consumption increase
Solution Approach 1:
The system implements periodic calibration operations triggered by specific events such as device boot-up, charging events, or motion detection. Instead of continuous calibration, the system performs calibration at predetermined intervals when conditions indicate it is appropriate, maintaining accuracy while reducing system complexity and power consumption.
Solution Approach 2:
The calibration system operates autonomously by monitoring device conditions and automatically initiating calibration when appropriate. The processor detects calibration needs based on stored triggers and conditions, performing calibration without user intervention or complex external control systems, thus maintaining accuracy while minimizing added complexity.
3Ease of manufacture
If calibration is performed only at factory, then manufacturing process is simplified, but temperature accuracy deteriorates over time due to sensor drift
Solution Approach 1:
The system implements feedback mechanisms where the processor continuously monitors temperature readings and compares them against expected values or calibration data. When deviations indicate sensor drift, the system automatically initiates recalibration using stored calibration procedures, ensuring long-term accuracy without complicating the initial manufacturing process.
Solution Approach 2:
The calibration system transitions from a static factory-only calibration approach to a dynamic system that adapts over time. The processor evaluates device conditions, sensor performance, and elapsed time to determine when recalibration is needed, allowing the system to maintain accuracy throughout its operational life while keeping the manufacturing process simple.
Data Source
AI summary
Methods, systems, and devices for temperature calibration are described. A device may support temperature calibration for a set of temperature sensors. For example, a wearable device may activate a set of temperature sensors associated with the wearable device. The set of temperature sensors may include a primary temperature sensor and one or more secondary temperature sensors. The wearable device may determine a trigger to calibrate the one or more secondary temperature sensors based on one or more conditions, and calibrate the one or more secondary temperature sensors using the primary temperature sensor based on the trigger. Based on the calibrating, the wearable device may process temperature data associated with a user that is received from one or more of the primary temperature sensor or the one or more secondary temperature sensors.