EIT-Based Fabric Pressure Sensing

Yao, A.; Yang, Chuanlei; Seo, Jin Keun; Soleimani, Masoud

doi:10.1155/2013/405325

Cited by 46 publications

(30 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, EIT‐based artificial skins are not suitable for applications that require image reconstruction with high‐frequency temporal resolution and millimeter‐level spatial resolution . However, EIT is applicable to a variety of applications about the real‐time distributed pressure monitoring, including the gait detection in biomechanics . In robotics, EIT‐based artificial skins are suitable for the touch sensing, where the spatial resolution of 10–40 mm and reconstruction frequency up to 45 Hz are sufficient .…”

Section: Artificial Sensitive Skins For Roboticsmentioning

confidence: 99%

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Wang

et al. 2020

Advanced Intelligent Systems

View full text Add to dashboard Cite

Electrical impedance tomography (EIT) is a noninvasive measurement technique that estimates the internal resistivity distribution based on the boundary voltage–current data measured from the surface of the conductor. If a thin stretchable soft material with a certain piezoresistive property is used as the electrical conductor, EIT has the ability to reconstruct the position where the resistivity changes due to the inside pressure contact, so that a large‐scale artificial sensitive skin is provided for robotics. First, the different conduction principles and material types of artificial sensitive skins are discussed, which is next followed by the different driving modes and image reconstruction techniques. Then, details on how EIT is used for robotic skin applications are described. Finally, the development trends and future potentials of EIT‐based robotic skins are expounded.

show abstract

Section: Artificial Sensitive Skins For Roboticsmentioning

confidence: 99%

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Wang

et al. 2020

Advanced Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…That's why non-array structure is more suitable for large area force detection. Yao, A., et al [11] designed an based Electrical Impedance Tomography fabric sensor that can provide a pressure map using some current carrying and voltage sensing electrodes attached to the boundary of the fabric patch. Lee et al [12] proposed a multi-point and multi-directional strain mapping sensor based on multiwall carbon nanotube (MWCNT)-silicone elastomer nanocomposites and anisotropic electrical impedance tomography (aEIT).…”

Section: Introductionmentioning

confidence: 99%

Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

Lin

You

et al. 2020

Micromachines

View full text Add to dashboard Cite

In the field of safety and communication of human-robot interaction (HRI), using large-scale electronic skin will be the tendency in the future. The force-sensitive piezoresistive material is the key for piezoresistive electronic skin. In this paper, a non-array large scale piezoresistive tactile sensor and its corresponding calibration methods were presented. Because of the creep inconsistency of large scale piezoresistive material, a creep tracking compensation method based on K-means clustering and fuzzy pattern recognition was proposed to improve the detection accuracy. With the compensated data, the inconsistency and nonlinearity of the sensor was calibrated. The calibration process was divided into two parts. The hierarchical clustering algorithm was utilized firstly to classify and fuse piezoresistive property of different regions over the whole sensor. Then, combining the position information, the force detection model was constructed by Back-Propagation (BP) neural network. At last, a novel flexible tactile sensor for detecting contact position and force was designed as an example and tested after being calibrated. The experimental results showed that the calibration methods proposed were effective in detecting force, and the detection accuracy was improved.

show abstract

“…In all of these applications, Electrical Impedance Tomography has been used to localise areas of inhomogeneity within the domain caused by the presence of elements that change the domain conductivity. If applied to a stretchable conductive substrate (as in [13,14,15,16,17]), the technique can be used to develop a flexible sensor with arbitrary size and shape that does not suffer from the presence of wires within the sensing area. Even if it sounds promising, the technique has some drawbacks, especially related to spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography

Visentin

Fiorini

Suzuki

2016

Sensors

View full text Add to dashboard Cite

In this paper, we present a low-cost, adaptable, and flexible pressure sensor that can be applied as a smart skin over both stiff and deformable media. The sensor can be easily adapted for use in applications related to the fields of robotics, rehabilitation, or costumer electronic devices. In order to remove most of the stiff components that block the flexibility of the sensor, we based the sensing capability on the use of a tomographic technique known as Electrical Impedance Tomography. The technique allows the internal structure of the domain under study to be inferred by reconstructing its conductivity map. By applying the technique to a material that changes its resistivity according to applied forces, it is possible to identify these changes and then localise the area where the force was applied. We tested the system when applied to flat and curved surfaces. For all configurations, we evaluate the artificial skin capabilities to detect forces applied over a single point, over multiple points, and changes in the underlying geometry. The results are all promising, and open the way for the application of such sensors in different robotic contexts where deformability is the key point.

show abstract

EIT-Based Fabric Pressure Sensing

Cited by 46 publications

References 16 publications

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Artificial Sensitive Skin for Robotics Based on Electrical Impedance Tomography

Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography

Contact Info

Product

Resources

About