Recent Advances in Self-Powered Tactile Sensing for Wearable Electronics.

Ling-Feng Liu, Tong Li, Qin-Teng Lai, Guowu Tang, Qi-Jun Sun

Abstract readReview

In one paragraph

Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications.Advanced materials (Deerfield Beach, Fla.) · 2026
Review

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.

Ling-Feng LiuSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0009-0005-8171-2142

Tong LiSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Qin-Teng LaiSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Guowu TangSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Qi-Jun SunSchool of Physics and Optoelectronic Engineering, Guangdong University of Technology, Guangzhou 510006, China.ORCID 0000-0002-0679-8549

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515110719Guangzhou Basic and Applied Basic Research Foundation 202201010614

6 · The paper itself

Abstract

With the arrival of the Internet of Things era, the demand for tactile sensors continues to grow. However, traditional sensors mostly require an external power supply to meet real-time monitoring, which brings many drawbacks such as short service life, environmental pollution, and difficulty in replacement, which greatly limits their practical applications. Therefore, the development of a passive self-power supply of tactile sensors has become a research hotspot in academia and the industry. In this review, the development of self-powered tactile sensors in the past several years is introduced and discussed. First, the sensing principle of self-powered tactile sensors is introduced. After that, the main performance parameters of the tactile sensors are briefly discussed. Finally, the potential application prospects of the tactile sensors are discussed in detail.

Indexed as

artificial intelligencehealth monitoringhigh sensitivityself-powered tactile sensors

Identifiers

PMID38893757

DOI10.3390/ma17112493

PMCPMC11172942

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.