Evidence map›Paper›PMID 38968360›Full record

ArticleScience advances2024

Biomimetic bimodal haptic perception using triboelectric effect.

Shaoshuai He, Jinhong Dai, Dong Wan, Shengshu Sun, Xiya Yang, Xin Xia, Yunlong Zi

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  7. Stretchable Curvature Sensors for Motion Capture with Bending-Stretching Coupling Deformation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Multisensory electronic skin with decoupled pressure-temperature-sensing capabilities for similar object recognition.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Article
  16. Article
  17. Wearable Self-Powered Pressure Sensors Based on alk-TiAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. 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

7 authors.

Shaoshuai HeThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.ORCID 0009-0007-3599-2483
Jinhong DaiThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.
Dong WanThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.
Shengshu SunMedical School, Chinese PLA, Fuxing Road 28, Beijing 100853, China.
Xiya YangInstitute of New Energy Technology, College of Physics & Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong, China.ORCID 0000-0003-3731-5914
Xin XiaThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.ORCID 0000-0002-7177-5028
Yunlong ZiThrust of Sustainable Energy and Environment, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou 511400, Guangdong, China.ORCID 0000-0002-5133-4057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimodal haptic perception is essential for enhancing perceptual experiences in augmented reality applications. To date, several artificial tactile interfaces have been developed to perceive pressure and precontact signals, while simultaneously detecting object type and softness with quantified modulus still remains challenging. Here, inspired by the campaniform sensilla on insect antennae, we proposed a hemispherical bimodal intelligent tactile sensor (BITS) array using the triboelectric effect. The system is capable of softness identification, modulus quantification, and material type recognition. In principle, due to the varied deformability of materials, the BITS generates unique triboelectric output fingerprints when in contact with the tested object. Furthermore, owing to the different electron affinities, the BITS array can accurately recognize material type (99.4% accuracy), facilitating softness recognition (100% accuracy) and modulus quantification. It is promising that the BITS based on the triboelectric effect has the potential to be miniaturized to provide real-time accurate haptic information as an artificial antenna toward applications of human-machine integration.

Indexed as

BiomimeticsAnimalsHumansTouchTouch Perception

Identifiers

PMID38968360
PMCPMC11225791

What OpenQuestion holds

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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.