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 …
acoustic biosignals generated by the human body during speech production to enable …
Biosignal sensors and deep learning-based speech recognition: A review
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 …
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
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 …
However, most of the existing magnetic localization systems require a stable background …
Fully-channel regional attention network for disease-location recognition with tongue images
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 …
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 …
and can safely navigate through constrained environments that prove challenging for …
Configuration identification for a freeform modular self-reconfigurable robot-freesn
Modular self-reconfigurable robotic systems are potentially more robust and adaptive than
conventional systems. This article proposes a novel freeform and truss-structured modular …
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
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 …
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
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 …
minimally invasive surgery. The development of systems to localize millimeter-sized robots …
An hFFNN-LM based real-time and high precision magnet localization method
Magnet tracking is an emerging tracking method for medical instruments and biological
tissues, such as endoscopes and catheters. Traditional magnet tracking technology typically …
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
Traditional magnetic tracking approaches based on mathematical models and optimization
algorithms are computationally intensive, depend on initial guesses, and do not guarantee …
algorithms are computationally intensive, depend on initial guesses, and do not guarantee …