research
∙
10/27/2022
Light-weighted CNN-Attention based architecture for Hand Gesture Recognition via ElectroMyography
Advancements in Biological Signal Processing (BSP) and Machine-Learning ...
share
research
∙
03/28/2022
TraHGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Deep learning-based Hand Gesture Recognition (HGR) via surface Electromy...
research
∙
01/02/2022
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Recent advancements in Electroencephalography (EEG) sensor technologies ...
research
∙
12/31/2021
BP-Net: Cuff-less, Calibration-free, and Non-invasive Blood Pressure Estimation via a Generic Deep Convolutional Architecture
Objective: The paper focuses on development of robust and accurate proce...
research
∙
10/17/2021
Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
Advances in biosignal signal processing and machine learning, in particu...
research
∙
10/01/2021
Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
Brain iron deposition, in particular deep gray matter nuclei, increases ...
research
∙
09/25/2021
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
There has been a surge of recent interest in Machine Learning (ML), part...
research
∙
11/11/2020
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
This work is motivated by the recent advances in Deep Neural Networks (D...
research
∙
02/03/2020
Siamese Neural Networks for EEG-based Brain-computer Interfaces
Motivated by the inconceivable capability of the human brain in simultan...
research
∙
11/09/2019
