A supported membrane type sensor for medical tactile mapping
Bibliographic record
Abstract
This paper describes the design, fabrication, testing, and mathematical modeling of a supported membrane type polyvinylidene fluoride (PVDF) tactile sensor. Using the designed membrane type sensor (MTS), it is shown that the entire surface of the PVDF film can be employed as a means of detecting the force magnitude and its application point. This is accomplished by utilizing only three sensing elements. Unlike the array type tactile sensors, in which the regions between the neighboring sensing elements are not active, all the surface points of the sensor are practically active in this MTS. A geometric mapping process is introduced, thereby, the loci of the isocharge contours for the three sensing elements are determined by applying force on various points of the sensor surface. In order to form a criterion for the comparison between the experimental findings and the theoretical analysis data, and also to determine the magnitude of the stresses generated in the membrane, finite element modeling is used. The correlation between the theoretical predictions and experimental findings is proven to be reasonable. Potentially, the designed MTS can be incorporated into various medical probes for tactile imaging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".