ArticleMicromachines2022
New Flexible Tactile Sensor Based on Electrical Impedance Tomography.
Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed.
- Recent Developments and Applications of Tactile Sensors with Biomimetic Microstructures.Biomimetics (Basel, Switzerland) · 2025Review
- Electrical Impedance Tomography-Based Electronic Skin for Multi-Touch Tactile Sensing Using Hydrogel Material and FISTA Algorithm.Sensors (Basel, Switzerland) · 2024Article
- Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation.Sensors (Basel, Switzerland) · 2023Review
- Spatial Calibration of Humanoid Robot Flexible Tactile Skin for Human-Robot Interaction.Sensors (Basel, Switzerland) · 2023Article
- Implementation of a Sponge-Based Flexible Electronic Skin for Safe Human-Robot Interaction.Micromachines · 2022Article
- Wearable Sensors for Healthcare: Fabrication to Application.Sensors (Basel, Switzerland) · 2022Review
- E-Skin Using Fringing Field Electrical Impedance Tomography with an Ionic Liquid Domain.Sensors (Basel, Switzerland) · 2022Article
- Electrical Impedance Tomography Technical Contributions for Detection and 3D Geometric Localization of Breast Tumors: A Systematic Review.Micromachines · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In order to obtain external information and ensure the security of human-computer interaction, a double sensitive layer structured tactile sensor was proposed in this paper. Based on the EIT (Electrical Impedance Tomography) method, the sensor converts the information from external collisions or contact into local conductivity changes, and realizes the detection of one or more contact points. These changes can be processed into an image containing positional and force information. The experiments were conducted on the actual sensor sample. The OpenCV toolkit was used to process the positional information of contact points. The distributional regularities of errors in positional detection were analyzed, and the accuracy of the positional detection was evaluated. The effectiveness, sensitivity, and contact area of the force detection were analyzed based on the result of the EIT calculations. Furthermore, multi-object tests of pressure were conducted. The results of the experiment indicated that the proposed sensor performed well in detecting the position and force of contact. It is suitable for human-robot interaction.
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Registered trials
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.