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Found 7 papers, 2 papers with code
Hand Gesture Classification Based on Forearm Ultrasound Video Snippets Using 3D Convolutional Neural Networks
This study uses 3D CNN based techniques to capture spatio-temporal patterns within ultrasound video segments for gesture recognition.
Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach
Ultrasound data was acquired for 5 hand gestures within a session (without removing and putting the probe back on) and across sessions.
Forearm Ultrasound based Gesture Recognition on Edge
To bridge this gap, this paper explores the deployment of deep neural networks for forearm ultrasound-based hand gesture recognition on edge devices.
Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance
To this end, we propose a search scheme, {\em Loss Distillation via Gradient Matching}, to find good candidate loss functions by mimicking the learning behavior in backpropagation between HyperCD and weighted CD.
Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound
Hand configuration classification and MCP joint angle detection is important for a comprehensive reconstruction of hand motion.
Actuated Reflector-Based Three-dimensional Ultrasound Imaging with Adaptive-Delay Synthetic Aperture Focusing
Results of point targets suggested improved image quality on the elevation plane, and results of cysts targets demonstrated a potential to improve 3D visualization of human anatomy.
Tele-operative Robotic Lung Ultrasound Scanning Platform for Triage of COVID-19 Patients
Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a pandemic of epic proportions and a global response to prepare health systems worldwide is of utmost importance.
