Evidence map›Paper›PMID 42122293›Full record

ArticleSensors (Basel, Switzerland)2026

Trends and Prospects of Biometrics: From Sensing to Perception and Cognition.

Zhicheng Cao, Natalia Schmid, Liaojun Pang

Abstract readEditorial
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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

3 authors.

Zhicheng CaoMolecular and Neuroimaging Engineering Research Center of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710126, China.ORCID 0000-0003-4856-406X
Natalia SchmidLane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA.ORCID 0000-0003-0531-7157
Liaojun PangMolecular and Neuroimaging Engineering Research Center of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an 710126, China.ORCID 0000-0002-2388-2806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biometrics technology is undergoing a paradigm shift from static single-modal authentication to continuous multimodal sensing, combined with higher-performing algorithms powered by new deep learning techniques. This editorial reviews cutting-edge advancements and trends in the field of biometrics in four dimensions-novel sensors, modalities, algorithms, and equipment-as well as summarizes the contributions to this Special Issue, "New Trends in Biometric Sensing and Information Processing" by grouping them into the corresponding aspects of breakthroughs in this field.

Indexed as

BiometryCognitionAlgorithmsArtificial IntelligenceHumansartificial intelligencebiometricsmodalitysensortrends

Identifiers

PMID42122293
PMCPMC13165547

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.