Evidence map›Paper›PMID 42335303›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

A Low Voltage-Powered Flexible Electroosmotic Actuator for Wearable Haptics.

Xifan Fu, Jinxiu Liu, Jianyu Gao, Jianning Xu, Jun Huang, Kang Liu

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. 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
–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

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

6 authors.

Xifan FuMOE Key Laboratory of Hydraulic Machinery Transients, School of Power and Mechanical Engineering, Wuhan University, Wuhan, China.
Jinxiu LiuMOE Key Laboratory of Hydraulic Machinery Transients, School of Power and Mechanical Engineering, Wuhan University, Wuhan, China.
Jianyu GaoSchool of Robotics, Wuhan University, Wuhan, China.
Jianning XuMOE Key Laboratory of Hydraulic Machinery Transients, School of Power and Mechanical Engineering, Wuhan University, Wuhan, China.
Jun HuangSchool of Robotics, Wuhan University, Wuhan, China.
Kang LiuMOE Key Laboratory of Hydraulic Machinery Transients, School of Power and Mechanical Engineering, Wuhan University, Wuhan, China.

Funding

National Natural Science Foundation of China 62161160311
6 · The paper itself

Abstract

Wearable haptic actuators are important to provide users with tactile feedback to enhance immersive human-machine interaction. Most of the existing actuators, although soft and small, typically work at a high voltage of kilovolt level, which brings about safety risks for users. In this work, via functional group modification on a piece of glass fiber membranes, we construct a flexible electroosmotic actuator that can operate at a voltage as low as 20 volts, falling at the safe voltage for the human body. The actuator delivers feedback forces exceeding the tactile perception threshold of human skin and maintains stable performance in 2500 cycles. We also constructed a haptic patch that satisfies the two-point discrimination threshold at fingertips by arranging actuators with an interspacing of 3 mm. Integrating the haptic patch into a VR system, we demonstrate its ability to reproduce complex tactile sensations and enhance immersion, showing the potential of the actuator strategy in safe operation and accurate communication in immersive human-machine interaction.

Indexed as

ElectricityElectroosmosisHaptic InterfacesWearable Electronic DevicesHumanselectroosmotic actuatorshaptic feedbackhuman–machine interactionsafe voltage

Identifiers

PMID42335303
PMCPMC13485004

What OpenQuestion holds

Textmetadata
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.