Evidence map›Paper›PMID 35030019›Full record

ArticleScience advances2022

Electronic skin as wireless human-machine interfaces for robotic VR.

Yiming Liu, Chunki Yiu, Zhen Song, Ya Huang, Kuanming Yao, Tszhung Wong, Jingkun Zhou, Ling Zhao, Xingcan Huang, Sina Khazaee Nejad and 8 more

Abstract read
In one paragraph

Article in Science advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

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  10. Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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5 more citing papers are in PubMed but not listed here.

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

18 authors.

Yiming LiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0003-0134-1934
Chunki YiuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0003-3841-5327
Zhen SongState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0002-0726-2455
Ya HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0002-0965-8226
Kuanming YaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0001-8744-8892
Tszhung WongDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0001-5890-2523
Jingkun ZhouDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0001-5394-4388
Ling ZhaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0003-4210-2470
Sina Khazaee NejadDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0001-7111-3051
Mengge WuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0002-8116-5717
Dengfeng LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0002-8875-6974
Jiahui HeDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.
Xu GuoState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China.
Junsheng YuSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Xue FengAML, Department of Engineering Mechanics, Interdisciplinary Research Center for Flexible Electronics Technology, Tsinghua University, Beijing 100084, China.ORCID 0000-0001-9242-8474
Zhaoqian XieState Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, International Research Center for Computational Mechanics, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0003-1320-817X
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong.ORCID 0000-0003-0522-1171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus pandemic has highlighted the importance of developing intelligent robotics to prevent infectious disease spread. Human-machine interfaces (HMIs) give a chance of interactions between users and robotics, which play a significant role in teleoperating robotics. Conventional HMIs are based on bulky, rigid, and expensive machines, which mainly focus on robots/machines control, but lack of adequate feedbacks to users, which limit their applications in conducting complicated tasks. Therefore, developing closed-loop HMIs with both accurate sensing and feedback functions is extremely important. Here, we present a closed-loop HMI system based on skin-integrated electronics, whose electronics compliantly interface with the whole body for wireless motion capturing and haptic feedback via Bluetooth, Wireless Fidelity (Wi-Fi), and Internet. The integration of visual and haptic VR via skin-integrated electronics together into a closed-loop HMI for robotic VR demonstrates great potentials in noncontact collection of bio samples, nursing infectious disease patients and many others.

Identifiers

PMID35030019
PMCPMC8759751

What OpenQuestion holds

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LicenceCC BY-NC
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.