In recent years, deep learning (DL) is becoming an increasingly important tool for solving
inverse scattering problems (ISPs). This paper reviews methods, promises, and pitfalls of …

Advances in stretchable and flexible sensors are responding to the emerging demand of
wearable and portable smart electronics. A core component of these electronics are tactile …

Much recent work has been devoted to utilizing changes in either the inherent or imparted
electrical conductivity of self-sensing materials as an indicator of damage, deformation or …

Tactile sensing is increasingly attractive in various real-life applications, mainly driven by
significant progress in semiconductor, sensing, and material science technologies. Different …

Electrical impedance tomography (EIT) based tactile sensor offers significant benefits on
practical deployment because of its sparse electrode allocation, including durability, large …

In the rapidly evolving field of human-machine interfaces (HMIs), high-resolution wearable
electronic skin (e-skin) is essential for user interaction. However, traditional array-structured …

For large area robot skin design, the distribution of rigid components and wires in traditional
array sensors leads to the decrease of the flexibility and extensibility of sensors. The flexible …

Electrical impedance tomography (EIT) is a noninvasive measurement technique that
estimates the internal resistivity distribution based on the boundary voltage–current data …

Electrical impedance tomography (EIT) is an emerging imaging modality to monitor 3D cell
culture dynamics through reconstructing the electrical properties of cell clusters. Recently …

Combining functional soft materials with electrical impedance tomography is a promising
method for develo** continuum sensorized soft robotic skins with high resolutions …