Evidence map›Paper›PMID 37685836›Full record

ArticleInternational journal of molecular sciences2023

Anisotropic and Highly Sensitive Flexible Strain Sensors Based on Carbon Nanotubes and Iron Nanowires for Human-Computer Interaction Systems.

Decheng Wu, Yinlei Su, Rui Li, Jingyuan Zhao, Li Yang, Pingan Yang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. 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

6 authors.

Decheng WuSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.ORCID 0000-0001-7317-1634
Yinlei SuSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Rui LiSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Jingyuan ZhaoSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Li YangSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Pingan YangSchool of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.ORCID 0000-0002-8072-8506

Funding

2021 Rural Revitalization Project (SpecialResearch Fund of Guizhou Provincial Department of Education) Qianjiaohe KY Zi[2016] 018-4Chongqing Municipal Natural Science Foundation CSTB2022NSCQ-MSX0380Chongqing Municipal Natural Science Foundation cstc2021jcyj-bsh0198Chongqing Special Key Project for Technological Innovation and Application Development CSTB2022TIAD-KPX0134Chongqing Special Key Project for Technological Innovation and Application Development cstc2021jscx-gksbX0055Cooperation Project between Universities in Chongqing and Institutes Affiliated with the Chinese Academy of Sciences HZ2021018National High-end Foreign Experts Introduction Plan G2022035005LNational Natural Science Foundation of China 62261047Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202200637
6 · The paper itself

Abstract

Flexible strain sensors for multi-directional strain detection are crucial in complicated hman-computer interaction (HCI) applications. However, enhancing the anisotropy and sensitivity of the sensors for multi-directional detection in a simple and effective method remains a significant issue. Therefore, this study proposes a flexible strain sensor with anisotropy and high sensitivity based on a high-aspect-ratio V-groove array and a hybrid conductive network of iron nanowires and carbon nanotubes (Fe NWs/CNTs). The sensor exhibits significant anisotropy, with a difference in strain detection sensitivity of up to 35.92 times between two mutually perpendicular directions. Furthermore, the dynamic performance of the sensor shows a good response rate, ranging from 223 ms to 333 ms. The sensor maintains stability and consistent performance even after undergoing 1000 testing cycles. Additionally, the constructed flexible strain sensor is tested using the remote control application of a trolley, demonstrating its high potential for usage in practical HCI systems. This research offers a significant competitive advantage in the development of flexible strain sensors in the field of HCI.

Indexed as

Nanotubes, CarbonNanowiresAnisotropyComputersHumansIronIronNanotubes, CarbonCNTsFe NWshigh-aspect-ratio V-structureshuman–computer interaction

Identifiers

PMID37685836
PMCPMC10488179

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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.