Evidence map›Paper›PMID 41668178›Full record

ArticleJournal of neuroengineering and rehabilitation2026

Dynamic current ratio control and biophysical modeling for personalised electro-tactile perception.

Hongbo Yao, Mingyu Tan, Junjie Pan, Xijie Wu, Liming Wang, Yuhe Luo, Qiwei Xiong, Qing Zeng, Lin Shu

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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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

9 authors.

Hongbo YaoSchool of Future Technology, South China University of Technology, Guangzhou, China.
Mingyu TanSchool of Future Technology, South China University of Technology, Guangzhou, China.
Junjie PanSchool of Future Technology, South China University of Technology, Guangzhou, China.
Xijie WuSchool of Future Technology, South China University of Technology, Guangzhou, China.
Liming WangSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou, China.
Yuhe LuoSchool of Future Technology, South China University of Technology, Guangzhou, China.
Qiwei XiongSchool of Future Technology, South China University of Technology, Guangzhou, China. xiongqiwei@vip.qq.com.
Qing ZengCentre of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China. zengqingyang203@126.com.
Lin ShuSchool of Future Technology, South China University of Technology, Guangzhou, China. shul@scut.edu.cn.

Funding

Key-Area Research and Development Program of Guangdong Province 2023B0303040001National Key Research and Development Program of China 2022YFB4500600
6 · The paper itself

Abstract

The rapid development of virtual reality and human-computer interaction technology has put forward higher requirements for the authenticity and user experience of tactile feedback technology. Electrotactile feedback technology has become an important means to realise virtual tactile interaction due to its advantages of miniaturisation, high responsiveness and low power consumption. However, current electrotactile feedback technologies still have significant shortcomings in finger physiological structure modelling accuracy, individual difference adaptation capability and system integration effectiveness. Especially under complex tactile patterns, traditional single-electrode structures suffer from issues such as significant current diffusion and insufficient spatial resolution. For this reason, we report a centre-periphery synergistic electrode array, which uses peripheral auxiliary electrodes to locally constrain and guide current paths, effectively reducing current diffusion between adjacent stimulation channels and enhancing the spatial focusing capability and tactile perception precision of electrical stimulation. Based on this, we have constructed a high-precision simulation model of finger biophysical electrotactile feedback. Based on the finite element analysis of the multilayer tissue structure of the finger, the current conduction and tactile response characteristics within the tissue were accurately portrayed. The simulation research reveals a dynamic electrical stimulation mode modulation method, which can stably achieve the two main tactile sensory modes of vibration and pressure under the condition of appropriately adjusting the ratio of inhibition to stimulation current amplitude and can adapt to the personalised needs of different users. A multidimensional electrotactile feedback system with hardware and software synergy was further developed and fully validated by subject experiments. The results show that, compared with the traditional method, this system significantly improves tactile realism and user comfort, achieving up to a 39.4% increase in subjective scores, which effectively addresses the challenge of personalized adaptation in electrotactile feedback. In summary, this research provides a new theoretical basis and practical method for the development of tactile feedback technology in immersive virtual reality and human-computer interaction systems, which has a broad application prospect.

Indexed as

Feedback, SensoryTouchTouch PerceptionComputer SimulationElectric StimulationElectrodesFingersFinite Element AnalysisHumansUser-Computer InterfaceVirtual RealityCurrent ratioElectrode arrayElectrotactile feedbackPersonalised adaptationVirtual reality interaction

Identifiers

PMID41668178
PMCPMC12990584

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.