Evidence map›Paper›PMID 36353672›Full record

ReviewInnovation (Cambridge (Mass.))2022

Fabric computing: Concepts, opportunities, and challenges.

Min Chen, Jia Liu, Pan Li, Hamid Gharavi, Yixue Hao, Jingyu Ouyang, Jiayu Hu, Long Hu, Chong Hou, Iztok Humar and 3 more

Abstract readReview
In one paragraph

Review in Innovation (Cambridge (Mass.)), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  11. Review
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  13. Bioinspired iontronic synapse fibers for ultralow-power multiplexing neuromorphic sensorimotor textiles.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. National science review · 2024
    Article
  16. Article
  17. The dawn of ultralong flexible semiconductor fibers.Innovation (Cambridge (Mass.)) · 2024
    Review
  18. Article
  19. Article
  20. 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

13 authors.

Min ChenWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Jia LiuWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Pan LiWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Hamid GharaviNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899-8920, USA.
Yixue HaoWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Jingyu OuyangWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Jiayu HuWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Long HuWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Chong HouWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Iztok HumarFaculty of Electrical Engineering, University of Ljubljana, Trzaska cesta 25, 1000 Ljubljana, Slovenia.
Lei WeiSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Guang-Zhong YangMedical Robotics Institute, Shanghai Jiao Tong University, Shanghai 200030, China.
Guangming TaoWuhan National Laboratory for Optoelectronics, and School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the Internet of Everything, people can easily interact with their environments immersively. The idea of pervasive computing is becoming a reality, but due to the inconvenience of carrying silicon-based entities and a lack of fine-grained sensing capabilities for human-computer interaction, it is difficult to ensure comfort, esthetics, and privacy in smart spaces. Motivated by the rapid developments in intelligent fabric technology in the post-Moore era, we propose a novel computing approach that creates a paradigm shift driven by fabric computing and advocate a new concept of non-chip sensing in living spaces. We discuss the core notion and benefits of fabric computing, including its implementation, challenges, and future research opportunities.

Identifiers

PMID36353672
PMCPMC9637982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.