Evidence map›Paper›PMID 41851131›Full record

ArticleNature communications2026

Biomimetic hairy affective-touch sensory AI interface.

Jianlong Hong, Yukun Xiao, Yuqi Chen, Shengshun Duan, Shengxin Xiang, Xiao Wei, Huiyun Zhang, Lei Liu, Jun Xia, Wei Lei and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

13 authors.

Jianlong Hong *Interdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Yukun Xiao *Interdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Yuqi ChenInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Shengshun DuanInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Shengxin XiangInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Xiao WeiInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Huiyun ZhangInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Lei LiuInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Jun XiaInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Wei LeiInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China.
Qiongfeng ShiInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China. qiongfeng@seu.edu.cn.ORCID http://orcid.org/0000-0002-5979-1420
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. elelc@nus.edu.sg.ORCID http://orcid.org/0000-0002-8886-3649
Jun WuInterdisciplinary Research Center, School of Electronic Science and Engineering, Southeast University, Nanjing, China. wujunseu@seu.edu.cn.ORCID http://orcid.org/0000-0002-9912-5238

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62075040National Natural Science Foundation of China (National Science Foundation of China) 62301150National Natural Science Foundation of China (National Science Foundation of China) 623B2021
6 · The paper itself

Abstract

The absence of tactile emotion perception limits artificial intelligence (AI) in decoding social behaviors encoded in human physical contact. Here, a biomimetic hairy sensing interface is developed to capture affective touch's spatiotemporal characteristics and intrinsic features, allowing for accurate emotion recognition. The hairy interface directly induces neuromimetic electric pulse signals under external stimuli without the need for a spike coding circuit. Through a bistage hairy structure, homogeneous nanomesh manufacturing process and isoline theory, it achieves high force detection sensitivity (0.67 N

Indexed as

Artificial IntelligenceBiomimeticsEmotionsTouchTouch PerceptionConvolutional Neural NetworksHumansIntelligent Systems

Identifiers

PMID41851131
PMCPMC13153231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.