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Found 7 papers, 1 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.
GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM
Large vision-language models (LVLMs), such as the Generative Pre-trained Transformer 4-omni (GPT-4o), are emerging multi-modal foundation models which have great potential as powerful artificial-intelligence (AI) assistance tools for a myriad of applications, including healthcare, industrial, and academic sectors.
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals
Notably, the proposed method is also robust to an increase in the number of missing channels compared to other methods.
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.
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.
