Self-powered, flexible and remote-controlled breath monitor based on TiO <sub>2</sub> nanowire networks
Bibliographic record
Abstract
Abstract Smart breath monitor devices with high stretchability, fast response/recovery times and self-powered characteristic are essential in the wearable medical and life science applications. In this work, we report on the development of a versatile high-performance humidity sensor based on TiO 2 nanowire networks for self-powered sensing application of human breath monitoring. These sensors, with typical response times of ∼3.6 s and recovery times of ∼14 s, exhibit high sensitivity to water vapor and can yield an output voltage that is directly proportional to the humidity level of ambient environment. The structure of nanowire networks is highly flexible and maintains the output voltage even after 10 000 times bending. By combining this type of sensor with a commercial signal transmission and processing system, it shows the good basis for real-time/remote-controlled monitoring and analysis of human breath under a variety of respiratory conditions. Our results suggest a new class of humidity sensing for self-powered biomedical devices and open to new technologies in energy, electronics, and sensor applications.
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How this classification was reachedexpand
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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".