Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 163

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Hybrid porous micro structured finger skin inspired self-powered electronic skin system for pressure sensing and sliding detection

Chen, Haotian, Song, Yu, Guo, Hang, Miao, Liming, Chen, Xuexian, Su, Zongming, Zhang, Haixia·2018·Nano Energy

Abstract

Abstract Fingertip is the most sensitive region in human body due to the unique fingerprint patterns and interlocked structure between epidermal-dermal, which amplify the tactile stimuli and enhance the sensitivity. Inspired by the complicated anatomical structure, we fabricated a finger skin inspired e-skin system composed of fingerprint inspired triboelectric generator (TENG), epidermal-dermal inspired hybrid porous microstructure (HPMS) pressure sensor and subcutaneous fat inspired fabric based porous supercapacitor (FPSC). The TENG is responsible for detecting sliding direction and speed with the help of the four spiral electrodes, which adopt the frequency rather than the amplitude to detect the signal to avoid interfere from the environment. The HPMS, on the one hand, integrates the advantages from both the microstructure and porous structure to enhance the sensitivity further. On the other hand, the sensitivity of HPMS sensor is tunable by designing the shape and porosity of the HPMS, which is proved by theory, simulation and experiment. The FPSC, which can tolerate some degree of compression, works to supply energy for the pressure sensor. In this way, the sensor system can work independently without external battery. As a proof-of-concept demonstration, this sensor system has been used to detect complex action including pressure and sliding. During this process, the pressure and sliding direction and speed can be detected simultaneously without connecting to external energy source, showing its potential application area in soft robot and wearable devices.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nanoen.2018.07.001

Cites

12 of 12 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 12 references

Cited by

See all 163

Metadata

Authors
Chen, H., Song, Y., Guo, H., Miao, L., Chen, X., Su, Z., & Zhang, H.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2018-09
Volume
51
Pages
496-503
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2811114396
Cited by
163
References
12
FWCI
7.74
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Hybrid porous micro structured finger skin inspired self-powered electronic skin system for pressure sensing and sliding detection. https://app.cochat.ai/papers/10.1016/j.nanoen.2018.07.001
The paper
Chen, H., Song, Y., Guo, H., Miao, L., Chen, X., Su, Z., & Zhang, H. (2018). Hybrid porous micro structured finger skin inspired self-powered electronic skin system for pressure sensing and sliding detection. Nano Energy. https://doi.org/10.1016/j.nanoen.2018.07.001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.