Evidence map›Paper›PMID 38361533›Full record

ArticleScience and technology of advanced materials2024

Fully printed non-contact touch sensors based on GCN/PDMS composites: enabling over-the-bottom detection, 3D recognition, and wireless transmission.

Bingxiang Li, Xianbin Zheng, SeHyun Kim, Xuhao Wang, Fuhao Jiang, Rong Li, Sang Woo Joo, Chenhao Cong, Xinlin Li

Open access · goldAbstract read
In one paragraph

Article in Science and technology of advanced materials, 2024. 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
1.1field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 6 citations in OpenAlex.

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

9 authors at 4 institutions in 2 countries.

Bingxiang LiCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China.
Xianbin ZhengCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China.
SeHyun KimSchool of Chemical Engineering, Konkuk University, Seoul, Republic of Korea.
Xuhao WangCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China.
Fuhao JiangCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China.
Rong LiTechnology Research and Development Department, Shandong Zhongkang Guochuang Research Institute of Advanced Dyeing & Finishing Technology Co., Ltd ., Taian, China.
Sang Woo JooSchool of Mechanical Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Chenhao CongSchool of Chemical Engineering, Konkuk University, Seoul, Republic of Korea.
Xinlin LiCollege of Mechanical and Electrical Engineering, Qingdao University, Qingdao, China.
Qingdao University · CNKonkuk University · KRKonkuk University Medical Center · KRYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement in intelligent bionics has elevated electronic skin to a pivotal component in bionic robots, enabling swift responses to diverse external stimuli. Combining wearable touch sensors with IoT technology lays the groundwork for achieving the versatile functionality of electronic skin. However, most current touch sensors rely on capacitive layer deformations induced by pressure, leading to changes in capacitance values. Unfortunately, sensors of this kind often face limitations in practical applications due to their uniform sensing capabilities. This study presents a novel approach by incorporating graphitic carbon nitride (GCN) into polydimethylsiloxane (PDMS) at a low concentration. Surprisingly, this blend of materials with higher dielectric constants yields composite films with lower dielectric constants, contrary to expectations. Unlike traditional capacitive sensors, our non-contact touch sensors exploit electric field interference between the object and the sensor's edge, with enhanced effects from the low dielectric constant GCN/PDMS film. Consequently, we have fabricated touch sensor grids using an array configuration of dispensing printing techniques, facilitating fast response and ultra-low-limit contact detection with finger-to-device distances ranging from 5 to 100 mm. These sensors exhibit excellent resolution in recognizing 3D object shapes and accurately detecting positional motion. Moreover, they enable real-time monitoring of array data with signal transmission over a 4G network. In summary, our proposed approach for fabricating low dielectric constant thin films, as employed in non-contact touch sensors, opens new avenues for advancing electronic skin technology.

Indexed as

3D recognitionE-skinflexible capacitive sensortouch sensorsWearable electronics

Identifiers

PMID38361533
PMCPMC10868416
OpenAlexW4391321794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.