Evidence map›Paper›PMID 37582974›Full record

ArticleNano-micro letters2023

Conformal Human-Machine Integration Using Highly Bending-Insensitive, Unpixelated, and Waterproof Epidermal Electronics Toward Metaverse.

Chao Wei, Wansheng Lin, Liang Wang, Zhicheng Cao, Zijian Huang, Qingliang Liao, Ziquan Guo, Yuhan Su, Yuanjin Zheng, Xinqin Liao and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 34 citations in OpenAlex.

  1. Customizing Tactile Sensors via Machine Learning-Driven Inverse Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Recent Advances in Decoupling Strategies for Soft Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. 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

11 authors at 5 institutions in 2 countries.

Chao WeiDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Wansheng LinDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Liang WangDepartment of Engineering Mechanics, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Zhicheng CaoDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Zijian HuangDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Qingliang LiaoAcademy for Advanced Interdisciplinary Science and Technology, Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing, 100083, People's Republic of China.
Ziquan GuoDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Yuhan SuDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China.
Yuanjin ZhengSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Xinqin LiaoDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China. liaoxinqin@xmu.edu.cn.
Zhong ChenDepartment of Electronic Science, Xiamen University, Xiamen, 361005, People's Republic of China. chenz@xmu.edu.cn.
Xiamen University · CNNanyang Technological University · SGShanghai Jiao Tong University · CNUniversity of Science and Technology Beijing · CNXiamen University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient and flexible interactions require precisely converting human intentions into computer-recognizable signals, which is critical to the breakthrough development of metaverse. Interactive electronics face common dilemmas, which realize high-precision and stable touch detection but are rigid, bulky, and thick or achieve high flexibility to wear but lose precision. Here, we construct highly bending-insensitive, unpixelated, and waterproof epidermal interfaces (BUW epidermal interfaces) and demonstrate their interactive applications of conformal human-machine integration. The BUW epidermal interface based on the addressable electrical contact structure exhibits high-precision and stable touch detection, high flexibility, rapid response time, excellent stability, and versatile "cut-and-paste" character. Regardless of whether being flat or bent, the BUW epidermal interface can be conformally attached to the human skin for real-time, comfortable, and unrestrained interactions. This research provides promising insight into the functional composite and structural design strategies for developing epidermal electronics, which offers a new technology route and may further broaden human-machine interactions toward metaverse.

Indexed as

Addressable electrical contact structureCarbon-based functional compositeConformal human–machine integrationMultifunctional epidermal interfaceProperty modulation

Identifiers

PMID37582974
PMCPMC10427580
OpenAlexW4385828593

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.