Evidence map›Paper›PMID 35585678›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Noncontact Human-Machine Interface Using Complementary Information Fusion Based on MEMS and Triboelectric Sensors.

Xianhao Le, Qiongfeng Shi, Zhongda Sun, Jin Xie, Chengkuo Lee

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  5. Proximity Sensing Electronic Skin: Principles, Characteristics, and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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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

5 authors.

Xianhao LeDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Qiongfeng ShiDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Zhongda SunDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Jin XieState Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China.
Chengkuo LeeDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117583, Singapore.ORCID 0000-0002-8886-3649

Funding

Advanced Research and Technology Innovation Centre (ARTIC) A-0005947-20-00National Key Research and Development Program of China 2019YFB2004800National Key Research and Development Program of China R-2020-S-002RIE advanced manufacturing and engineering (AME) programmatic A18A4b0055RIE advanced manufacturing and engineering (AME) programmatic A18A5b0056
6 · The paper itself

Abstract

Current noncontact human-machine interfaces (HMIs) either suffer from high power consumption, complex signal processing circuits, and algorithms, or cannot support multidimensional interaction. Here, a minimalist, low-power, and multimodal noncontact interaction interface is realized by fusing the complementary information obtained from a microelectromechanical system (MEMS) humidity sensor and a triboelectric sensor. The humidity sensor composed of a two-port aluminum nitride (AlN) bulk wave resonator operating in its length extensional mode and a layer of graphene oxide (GO) film with uniform and controllable thickness, possesses an ultra-tiny form factor (200 × 400 µm

Indexed as

Micro-Electrical-Mechanical SystemsElectrodesHumansHumiditySignal Processing, Computer-Assistedbulk wave resonatorsgraphene oxidehuman-machine interfacehumidity sensorsnoncontacttriboelectric sensors

Identifiers

PMID35585678
PMCPMC9313506

What OpenQuestion holds

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LicenceCC BY
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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.