Evidence map›Paper›PMID 41305149›Full record

ArticleSensors (Basel, Switzerland)2025

Capacitance Characteristics of Glass-Embedded Interdigitated Capacitors for Touch Sensing Applications.

Apichart Kaewcharoen, Kirote Arpanutud, Prayoot Akkaraekthalin, Phongsaphak Sittimart, Suramate Chalermwisutkul

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Apichart KaewcharoenHigh Frequency Systems Laboratory, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.
Kirote ArpanutudFaculty of Engineering at Sriracha, Kasetsart University Sriracha Campus, Chonburi 20230, Thailand.
Prayoot AkkaraekthalinFaculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0001-6520-0765
Phongsaphak SittimartElectrical and Computer Engineering Program, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0002-6035-1609
Suramate ChalermwisutkulHigh Frequency Systems Laboratory, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand.ORCID 0000-0002-7600-2518

Funding

National Science, Research & Innovation (NSRF) and King Mongkut's University of Technology North Bangkok KMUTNB-FF-69-A-01Program Management Unit for Competitiveness (PMUC) C05F670047
6 · The paper itself

Abstract

This paper investigates the capacitance characteristics of a glass-embedded interdigitated capacitive sensor (IDCS) for touch-sensing applications. The study analyzes both baseline (no-touch) and touch-induced capacitance variations through a combination of analytical modeling and experimental validation. A multilayer analytical model is first employed to calculate the baseline capacitance of the proposed structure, followed by experimental measurements for model verification. Subsequently, an equivalent circuit model of the touched state is introduced to represent the interaction between the human fingertip, sensor electrodes, and earth-ground, explaining the observed capacitance reduction during a finger touch. Sensor prototypes with electrode finger widths of 1.4, 2.0, 2.4, and 3.0 mm were fabricated within a 40 × 40 mm

Indexed as

capacitance modelingequivalent circuit modelingglass-embedded structureinterdigitated capacitive sensortouch sensing

Identifiers

PMID41305149
PMCPMC12655941

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.