A Wearable Temperature Sensor for IoT Applications
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a wearable device for IoT applications that accurately measures the body temperature of athletes during exercise. The device is a flexible passive capacitive sensor with a TPU insulator that makes the capacitance dependent on the temperature. This insulator was made with a 3D printer and can be made in any other shape for other applications. A microcontroller reads the sensor's capacitor value by sampling its voltage in an RC series structure and determining its charge time constant. Using a LoRa module, this device transmits the athlete's body temperature from long distances to the server, providing online monitoring of body temperature during exercise. The sensor was tested from 25°C to 45°C to cover athletes' skin temperature variations, showing about a 5% variation in this range. The simulation of the proposed sensor was done in CST Studio Suite, and the measurement results follow the simulation results quite well.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it