Evidence map›Paper›PMID 38400507›Full record

ArticleSensors (Basel, Switzerland)2024

A Flexible Wearable Sensor Based on Laser-Induced Graphene for High-Precision Fine Motion Capture for Pilots.

Xiaoqing Xing, Yao Zou, Mian Zhong, Shichen Li, Hongyun Fan, Xia Lei, Juhang Yin, Jiaqing Shen, Xinyi Liu, Man Xu and 4 more

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

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Xiaoqing XingInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Yao ZouInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.ORCID 0009-0002-2615-1045
Mian ZhongInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.ORCID 0000-0001-8614-7668
Shichen LiInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Hongyun FanInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Xia LeiInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Juhang YinInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Jiaqing ShenInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Xinyi LiuSchool of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China.
Man XuSchool of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China.
Yong JiangSchool of Mathematics and Physics, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0000-0002-4354-6826
Tao TangCollege of Electronic and Information, Southwest Minzu University, Chengdu 610225, China.ORCID 0000-0001-6327-0823
Yu QianSchool of Flight Technology, Civil Aviation Flight University of China, Deyang 618307, China.ORCID 0000-0003-0532-1279
Chao ZhouInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Deyang 618307, China.
Civil Aviation Flight University of China · CNSouthwest University of Science and Technology · CNSouthwest Minzu University · CN

Funding

General Project of Sichuan General Aircraft Maintenance Engineering and Technology Research Center GAMRC2021YB12Key Laboratory of Flight Techniques and Flight Safety,CAAC FZ2022ZZ03National Natural Science Foundation of China U2133209
6 · The paper itself

Abstract

There has been a significant shift in research focus in recent years toward laser-induced graphene (LIG), which is a high-performance material with immense potential for use in energy storage, ultrahydrophobic water applications, and electronic devices. In particular, LIG has demonstrated considerable potential in the field of high-precision human motion posture capture using flexible sensing materials. In this study, we investigated the surface morphology evolution and performance of LIG formed by varying the laser energy accumulation times. Further, to capture human motion posture, we evaluated the performance of highly accurate flexible wearable sensors based on LIG. The experimental results showed that the sensors prepared using LIG exhibited exceptional flexibility and mechanical performance when the laser energy accumulation was optimized three times. They exhibited remarkable attributes, such as high sensitivity (~41.4), a low detection limit (0.05%), a rapid time response (response time of ~150 ms; relaxation time of ~100 ms), and excellent response stability even after 2000 s at a strain of 1.0% or 8.0%. These findings unequivocally show that flexible wearable sensors based on LIG have significant potential for capturing human motion posture, wrist pulse rates, and eye blinking patterns. Moreover, the sensors can capture various physiological signals for pilots to provide real-time capturing.

Indexed as

GraphiteWearable Electronic DevicesElectronicsHumansLasersMotion CaptureGraphiteflexible wearable sensorlaser energy accumulationlaser-induced graphenemorphologymotion posture capture

Identifiers

PMID38400507
PMCPMC10892607
OpenAlexW4391930805

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.