Evidence map›Paper›PMID 41930258›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2026

Wearable Fabric Electrotactile System with Stimulation-Inhibition Electrode Units.

Hongbo Yao, Delong Li, Wenjun Zhang, Qiwei Xiong, Yuhe Luo, Chuhang Lin, Jiyu Wang, Jialong Liu, Mingyu Tan, Xijie Wu and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 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

18 authors.

Hongbo YaoSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Delong LiSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Wenjun ZhangSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China.
Qiwei XiongSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Yuhe LuoSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Chuhang LinSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China.
Jiyu WangSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China.
Jialong LiuSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Mingyu TanSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Xijie WuSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Yuanjun MaSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Yihuan LinSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China.
Qingao HuSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Tao HuangSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.
Lin ShuSchool of Future Technology, South China University of Technology, Guangzhou 511442, China.ORCID https://orcid.org/0000-0002-7096-154X
Lei WeiDeakin University, Geelong 3217, Australia.ORCID https://orcid.org/0000-0001-8267
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Xiangmin XuSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tactile feedback is crucial for enhancing the virtual-reality (VR) interaction experience. However, current electrotactile devices suffer from issues such as current diffusion and electrode crosstalk, limiting spatial accuracy. To address this challenge, we designed a fabric-based ultrathin flexible microelectrode array with novel stimulation-inhibition electrode units that reduces current diffusion and improves focusing, improving tactile feedback accuracy and clarity. Additionally, we developed an electrical tactile interaction evaluation system to quantitatively assess the tactile recognition accuracy and reaction time of 30 participants. Experimental results demonstrate that the proposed electrode structure and evaluation system substantially enhance tactile perception in VR environments. This system has been demonstrated through immersive scenarios such as touching running water, stroking a bird's forehead, and feeling a cactus, highlighting its potential for providing precise tactile feedback and enhancing personalized human-computer interaction in VR.

Identifiers

PMID41930258
PMCPMC13039521

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Registered trials

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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.