Evidence map›Paper›PMID 41716647›Full record

ArticleNational science review2026

Fabric topological haptic proxy for interactive virtual reality.

Zhiyang Hu, Tianzhan Liang, Yuchen Wu, Haoyu Wang, Minyu Zhou, Xinyan Lin, Leheng Chen, Shuqun An, Haojie Zhao, Yongqi Lou and 14 more

Abstract read
In one paragraph

Article in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

24 authors.

Zhiyang HuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Tianzhan LiangCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Yuchen WuCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, China.
Haoyu WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Minyu ZhouState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Xinyan LinState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Leheng ChenCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Shuqun AnState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Haojie ZhaoState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Yongqi LouCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Guoqing ZhangYuyue Home Textile Co., Ltd, Binzhou 256623, China.
Hongguo GaoYuyue Home Textile Co., Ltd, Binzhou 256623, China.
Fujie LiShandong Xinyue Health Science and Technology Co., Ltd, Binzhou 256600, China.
Yuwen ZhuState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Ling ZhangCollege of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China.
Guanglin ZhangCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, China.
Liang-Wen FengKey Laboratory of Green Chemistry & Technology, Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China.
Qi WangCollege of Design and Innovation, Tongji University, Shanghai 200092, China.
Hengda SunState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.ORCID https://orcid.org/0000-0003-0522-1171
Hongzhi WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.
Jun ChenDepartment of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.ORCID https://orcid.org/0000-0002-3439-0495
Xiang-Chen LiChina Institute of Sport Science, Beijing 100061, China.
Gang WangState Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical objects serving as haptic proxies offer a promising approach to enrich tactile experience in virtual reality. However, conventional haptic proxies are hampered by prohibitive costs, limited reusability, and the logistical burden of creating and storing numerous object-specific models. Here, we introduce a fabric-based topological haptic proxy (FTHP) that functions as a programmable and universal interface. Our approach synergistically integrates origami-inspired topological constraints with triboelectric sensor yarns. The engineered topological design, featuring heterogeneous rigid and flexible segments, restricts deformation pathways, ensuring structural stability and generating distinct, classifiable electrical signals for different interactions. This allows a single, reusable FTHP to be dynamically reconfigured into multiple functional states (e.g. a flat touchpad or various 3D geometric controllers), bypassing the need for a rigid one-to-one correspondence between physical props and pre-stored virtual assets. Integrated with a convolutional neural network (CNN), the system achieves a 92.4% recognition accuracy across 14 distinct actions and 3 interaction modes. The FTHP presents a scalable and versatile platform for high-fidelity haptic interaction, advancing the design of more immersive and accessible virtual reality (VR) systems.

Indexed as

haptic proxiessmart textilestopological fabricsvirtual reality

Identifiers

PMID41716647
PMCPMC12916009

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.