Evidence map›Paper›PMID 41626551›Full record

ArticleInnovation (Cambridge (Mass.))2025

Spatiotemporal rendering for dynamic sensation reproduction via electrostatic-enhanced vibro-haptic interface.

Dazhe Zhao, Jiaze Shan, Sen Ding, Dan Fang, Siyuan Liu, Kaijun Zhang, Zhaoyang Li, Tianjun Lan, Xin Wang, Bingpu Zhou and 1 more

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2025. 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

11 authors.

Dazhe ZhaoDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Jiaze ShanDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Sen DingJoint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China.
Dan FangJoint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China.
Siyuan LiuDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Kaijun ZhangDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Zhaoyang LiDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Tianjun LanDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Xin WangDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.
Bingpu ZhouJoint Key Laboratory of the Ministry of Education, Institute of Applied Physics and Materials Engineering, University of Macau, Avenida da Universidade, Taipa, Macau 999078, China.
Junwen ZhongDepartment of Electromechanical Engineering and Center for Artificial Intelligence and Robotics, University of Macau, Macau SAR 999078, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human skin exhibits extreme sensitivity to spatiotemporal contact events, especially important for dynamic interactions in human-machine interfaces. However, replicating non-invasive haptic feedback for dynamic interaction with a spatiotemporal resolution that matches the human somatosensory system remains challenging because the spatiotemporal design criteria of the haptic interface and the perception characteristic of human beings are not clearly understood. Here, we report a thin electrostatic-enhanced vibro-haptic interface constructed with piezoelectric actuator pixels driven by relativity low voltage, capable of being spatiotemporally programmed for wearable and noninvasive dynamic haptic interaction. Systematic psychophysical tests systematically reveal the relationship between the spatiotemporal parameters (duration, interval, delay, and two-point distance) and human perception characteristics (intensity, continuity, and pixel asynchronous activation perceptibility). Accordingly, wearable haptic music is designed to reproduce the smooth rhythmic beats on a finger (distinguishing accuracy of 95%). Moreover, we demonstrate the reproduction of virtual dynamic interactions, such as recognizing moving directions, textures, and action modes. This work provides clear criteria for designing vibro-haptic interfaces with high spatiotemporal resolution for both physical and virtual applications.

Indexed as

haptic feedbackpiezoelectretspatiotemporal renderingvibro-hapticvirtual reality

Identifiers

PMID41626551
PMCPMC12859666

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.