Evidence map›Paper›PMID 41061059›Full record

ArticleScience advances2025

Deep learning-empowered triboelectric acoustic textile for voice perception and intuitive generative AI-voice access on clothing.

Beibei Shao, Tai-Chen Wu, Zhi-Xian Yan, Tien-Yu Ko, Wei-Chen Peng, Dun-Jie Jhan, Yu-Hsiang Chang, Jiun-Wei Fong, Ming-Han Lu, Wei-Chun Yang and 6 more

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Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

16 authors.

Beibei ShaoState Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University, Suzhou 215006, P. R. China.ORCID 0009-0000-0460-5435
Tai-Chen WuDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Zhi-Xian YanDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Tien-Yu KoDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Wei-Chen PengDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Dun-Jie JhanDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.ORCID 0009-0001-4183-9449
Yu-Hsiang ChangDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Jiun-Wei FongDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Ming-Han LuDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Wei-Chun YangDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.
Jiann-Yeu ChenInnovation and Development Center of Sustainable Agriculture, i-Center for Advanced Science and Technology, National Chung Hsing University, Taichung City 402202, Taiwan.
Ming-Yen LuDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu 300, Taiwan.ORCID 0000-0003-1788-1425
Baoquan SunState Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University, Suzhou 215006, P. R. China.ORCID 0000-0002-4507-4578
Heng-Jui LiuDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.ORCID 0000-0002-0745-9370
Ruiyuan LiuState Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM) and College of Energy, Soochow Institute of Energy and Material Innovations, Key Laboratory for Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu Province, Soochow University, Suzhou 215006, P. R. China.ORCID 0000-0002-1678-3500
Ying-Chih LaiDepartment of Materials Science and Engineering, National Chung Hsing University, Taichung City 402202, Taiwan.ORCID 0000-0003-4377-3313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating generative artificial intelligence (AI) chatbots with acoustic perception textiles allows everyday clothing to retrieve information, seek advice, and perform tasks through voice interactions. Here, we present a deep learning (DL)-empowered triboelectric AI acoustic textile (A-Textile) leveraging electrostatic charges on clothing for imperceptible, active voice perception and AI access. The multilayered A-Textile features a composite coating of three-dimensional SnS

Identifiers

PMID41061059
PMCPMC12506980

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LicenceCC BY-NC
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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.