Skin-Inspired Flexoelectret Touch Sensor for Self-Powered and Self-Calibrated Tactile Imaging.

Rui Ge, Qiuhong Yu, Yongkang Zhang, Yafeng Cai, Shuhai Liu, Weimin Liu, Jun Zhang, Yong Qin

Abstract read

In one paragraph

Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

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

8 authors.

Rui GeCollege of Information and Communication Engineering/College of Integrated Circuits, Harbin Engineering University, Harbin, Heilongjiang 150001, China.ORCID https://orcid.org/0009-0008-9874-7685

Qiuhong YuInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou University, Lanzhou, Gansu 730000, China.ORCID https://orcid.org/0009-0009-2651-9437

Yongkang ZhangInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou University, Lanzhou, Gansu 730000, China.ORCID https://orcid.org/0000-0003-4765-3247

Yafeng CaiInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou University, Lanzhou, Gansu 730000, China.ORCID https://orcid.org/0000-0003-0423-7569

Shuhai LiuInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou University, Lanzhou, Gansu 730000, China.ORCID https://orcid.org/0000-0003-2459-3616

Weimin LiuState Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China.

Jun ZhangState Key Laboratory of Environment Characteristics and Effects for Near-space, School of Interdisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China.

Yong QinInstitute of Nanoscience and Nanotechnology, School of Materials and Energy, Lanzhou University, Lanzhou, Gansu 730000, China.ORCID https://orcid.org/0000-0002-6713-480X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While critical for human-machine interfaces, on-skin touch sensors struggle to replicate human skin's curved deformation mechanics and achieve simultaneous high sensitivity, linearity, robustness, and stability. Existing capacitive, piezoresistive, piezoelectric, or triboelectric mechanisms cannot effectively harness touch-induced curved indentation. We introduce a skin-inspired flexoelectret touch sensor that exploits flexoelectricity-converting strain gradients into electricity-to mimic skin's curved deformation geometry. This enables self-powered, self-calibrated tactile imaging through a novel mechanism establishing linear correlation between inhomogeneous deformation and electrical signal. The sensor achieves high sensitivity (the highest sensitivity up to ~835 mV/N), good linearity, exceptional robustness (>80,000 s continuous operation; >8,000 cycles), and immunity to temperature fluctuations, ultraviolet light illumination, and humidity interference. A 7 × 7-pixel array demonstrates shape-adaptive and touch-trajectory imaging capabilities. This technology unlocks transformative potential for wearable electronics and advanced human-machine interactions.

Identifiers

PMID42676551

DOI10.34133/research.1419

PMCPMC13527212

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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.