Evidence map›Paper›PMID 42086494›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Soft Mechanoluminescent Skin for High-Resolution Optical Tactile Sensing in Human-Machine Interaction.

Yu Feng, Qiaojiao Wang, Yehui Liu, Jiankun Li, Senlin Hou, Xiaomeng Yang, Ziyi Li, Yanji Yi, Meng Chen, Guanglie Zhang and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Yu FengDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Qiaojiao WangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yehui LiuDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Jiankun LiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0009-0006-4362-3576
Senlin HouDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-0661-9667
Xiaomeng YangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Ziyi LiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yanji YiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Meng ChenDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Guanglie ZhangDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Hao SunSchool of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China.
Wen Jung LiDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-9616-6213

Funding

Hong Kong Research Grants Council 11207222Hong Kong Research Grants Council 11216120Hong Kong Research Grants Council CRS_CityU103/25Hong Kong Research Grants Council T42-717/20-RInnoHK Project: Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE)
6 · The paper itself

Abstract

As soft interfaces become central to robotics, wearables, and human-machine interaction, a persistent challenge is to sense touch with high fidelity while keeping devices simple, robust, and negligible power requirement at the sensitive element. Herein, we report a soft mechanoluminescent (ML) tactile sensor converting force directly into light for imaging-based readout, integrating a thin, three-layer ML-skin with a CMOS module. Under mechanical stimulation, BaTiO

Indexed as

Man-Machine SystemsTouchWearable Electronic DevicesEquipment DesignHumansLuminescencehuman–machine interactionmechanoluminescencesoft sensortactile sensor

Identifiers

PMID42086494
PMCPMC13335551

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.