Silent speech interfaces for speech restoration: A review

JA Gonzalez-Lopez, A Gomez-Alanis… - IEEE …, 2020 - ieeexplore.ieee.org
This review summarises the status of silent speech interface (SSI) research. SSIs rely on non-
acoustic biosignals generated by the human body during speech production to enable …

Biosignal sensors and deep learning-based speech recognition: A review

W Lee, JJ Seong, B Ozlu, BS Shim, A Marakhimov… - Sensors, 2021 - mdpi.com
Voice is one of the essential mechanisms for communicating and expressing one's
intentions as a human being. There are several causes of voice inability, including disease …

Multipoint simultaneous tracking of wireless capsule endoscope using magnetic sensor array

M Wang, S Song, J Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Magnetic tracking has been well studied for the localization of wireless capsule robots.
However, most of the existing magnetic localization systems require a stable background …

Fully-channel regional attention network for disease-location recognition with tongue images

Y Hu, G Wen, M Luo, P Yang, D Dai, Z Yu… - Artificial Intelligence in …, 2021 - Elsevier
Objective Using the deep learning model to realize tongue image-based disease location
recognition and focus on solving two problems: 1. The ability of the general convolution …

Permanent magnet-based localization for growing robots in medical applications

C Watson, TK Morimoto - IEEE Robotics and Automation …, 2020 - ieeexplore.ieee.org
Growing robots that achieve locomotion by extending from their tip, are inherently compliant
and can safely navigate through constrained environments that prove challenging for …

Configuration identification for a freeform modular self-reconfigurable robot-freesn

Y Tu, TL Lam - IEEE Transactions on Robotics, 2023 - ieeexplore.ieee.org
Modular self-reconfigurable robotic systems are potentially more robust and adaptive than
conventional systems. This article proposes a novel freeform and truss-structured modular …

Real-time detection of moving magnetic target using distributed scalar sensor based on hybrid algorithm of particle swarm optimization and Gauss–Newton method

J Ge, S Wang, H Dong, H Liu, D Zhou… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Using a prior data to solve for the characteristic parameters of a moving magnetic target is
crucial in its detection. For this purpose, we developed a real-time detection method using …

Tracking of a magnetically navigated millirobot with a magnetic-field camera

C Vergne, J Inácio, T Quirin, D Sargent… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
A significant progress has been made in the development of magnetic micromanipulation for
minimally invasive surgery. The development of systems to localize millimeter-sized robots …

An hFFNN-LM based real-time and high precision magnet localization method

Y Qin, B Lv, H Dai, J Han - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Magnet tracking is an emerging tracking method for medical instruments and biological
tissues, such as endoscopes and catheters. Traditional magnet tracking technology typically …

AMagPoseNet: Real-Time Six-DoF Magnet Pose Estimation by Dual-Domain Few-Shot Learning From Prior Model

S Su, S Yuan, M Xu, H Gao, X Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traditional magnetic tracking approaches based on mathematical models and optimization
algorithms are computationally intensive, depend on initial guesses, and do not guarantee …