ArticleScientific reports2019
Artificial skin through super-sensing method and electrical impedance data from conductive fabric with aid of deep learning.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks.Nature communications · 2026Article
- Ultraflexible photoelectrical impedance tomography-based imager for 3-axis robotic tactile sensing.Nature communications · 2026Article
- Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Extremely durable electrical impedance tomography-based soft and ultrathin wearable e-skin for three-dimensional tactile interfaces.Science advances · 2024Article
- Electrical Impedance Tomography-Based Electronic Skin for Multi-Touch Tactile Sensing Using Hydrogel Material and FISTA Algorithm.Sensors (Basel, Switzerland) · 2024Article
- A Coupled Double-Layer Electrical Impedance Tomography-Based Sensing Skin for Pressure and Leak Detection.Sensors (Basel, Switzerland) · 2024Article
- Single-Line Multi-Channel Flexible Stress Sensor Arrays.Micromachines · 2023Review
- A Hydrogel-Based Electronic Skin for Touch Detection Using Electrical Impedance Tomography.Sensors (Basel, Switzerland) · 2023Article
- A Bionic Testbed for Cardiac Ablation Tools.International journal of molecular sciences · 2022Article
- E-Skin Using Fringing Field Electrical Impedance Tomography with an Ionic Liquid Domain.Sensors (Basel, Switzerland) · 2022Article
- New Flexible Tactile Sensor Based on Electrical Impedance Tomography.Micromachines · 2022Article
- A General Grid-Less Design Method for Location and Pressure Sensors with High Precision.Sensors (Basel, Switzerland) · 2020Article
- Prediction Model of Organic Molecular Absorption Energies based on Deep Learning trained by Chaos-enhanced Accelerated Evolutionary algorithm.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sense of touch is a major part of man's communication with their environment. Artificial skins can help robots to have the same sense of touch, especially for their social interactions. This paper presents a pressure mapping sensing using piezo-resistive fabric to represent aspects of the sense of touch. In past few years' electrical impedance tomography (EIT) is considered to be able offer a good alternative for artificial skin in particular for its ease of adaptation for large area skin compared to individual matrix based sensors. The EIT has also very good temporal performance in data collection allowing for monitoring of fast responses to touch stimulation, enabling a truly real time touch sensing. Electromechanical responses of a conductive fabric can be exploited using EIT to create a low cost and large area touch sensing. Such electromechanical properties are often very complex, so to improve the imaging resolution and touch visibility an artificial intelligent (AI) was used in addition to the state of the art spatio-temporal imaging algorithm. This work demonstrates a step towards an integrated seamless skin with large area sensing in dynamical settings, closer to natural human skin's behaviour. For the first time a dynamical touch sensing are studies by means of a spatio-temporal based electrical impedance tomography (EIT) imaging on a conductive fabric. The experimental results demonstrated the successful results by a combined AI with dynamical EIT imaging results in single and multiple points of touch.
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