Evidence map›Paper›PMID 39841827›Full record

ArticleScience advances2025

Digital channel-enabled distributed force decoding via small datasets for hand-centric interactions.

Yifeng Tang, Gen Li, Tieshan Zhang, Hao Ren, Xiong Yang, Liu Yang, Dong Guo, Yajing Shen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

8 authors.

Yifeng TangThe Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID 0000-0002-2061-5075
Gen LiThe Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Tieshan ZhangThe Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID 0000-0002-7617-6905
Hao RenThe Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.ORCID 0000-0002-5123-315X
Xiong YangDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Liu YangDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.ORCID 0000-0002-9492-4508
Dong GuoThe Robot and Automation Center and the Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Yajing ShenDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.ORCID 0000-0001-5799-7524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tactile interfaces are essential for enhancing human-machine interactions, yet achieving large-scale, precise distributed force sensing remains challenging due to signal coupling and inefficient data processing. Inspired by the spiral structure of

Indexed as

HandTouchHumans

Identifiers

PMID39841827
PMCPMC11753382

What OpenQuestion holds

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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.