Evidence map›Paper›PMID 41400093›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Stretchable Curvature Sensors for Motion Capture with Bending-Stretching Coupling Deformation.

Tairan Wang, Xinkai Xu, Shuang Li, Yuqun Lan, Kai Chen, Wei Li, Guangyuan Wang, Kuai Yu, Lijuan Sun, Yewang Su

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Research Progress of LaMicromachines · 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

10 authors.

Tairan WangState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Xinkai XuState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Shuang LiState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Yuqun LanState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Kai ChenState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Wei LiState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Guangyuan WangChina Academy of Space Technology, Haidian District, Beijing, 100080, P. R. China.
Kuai YuChina Academy of Space Technology, Haidian District, Beijing, 100080, P. R. China.
Lijuan SunState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Yewang SuState Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, P. R. China.ORCID https://orcid.org/0000-0002-5961-0490

Funding

CAS Interdisciplinary Innovation Team JCTD-2020-03Key Research Program of Frontier Sciences of the Chinese Academy of Sciences ZDBS-LY-JSC014National Natural Science Foundation of China 12172359Open Foundation of State Key Laboratory of Intelligent Manufacturing Equipment and Technology IMETKF2025012Open Research Project of Zhongke Technology Achievement Transfer and Transformation Center of Henan Province 2025113
6 · The paper itself

Abstract

Accurate curvature sensing is essential for robotic control, movement monitoring, and enhanced interactive experiences. Existing strategies rely either on stretchable strain sensors, which introduce non-calibratable measurement errors due to unstable interfacial friction and slippage, or on non-stretchable curvature sensors, which lack the stretchability required for wearable applications. Here, a stretchable curvature sensor is reported featuring a core component of a wave-shaped symmetrical laminated structure. This structure achieves both stretchability and effective decoupling of bending from stretching, enabling accurate curvature measurement under frictional conditions. Slip-simulation tests with smart gloves demonstrated a 93.6% reduction in measurement errors relative to conventional strain sensors. These results underscore the sensor's promise for applications in flexible wearable devices and soft robotics.

Indexed as

decouplingflexible electronicshuman‐robot interactionstretchable curvature sensor

Identifiers

PMID41400093
PMCPMC12948215

What OpenQuestion holds

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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.