Novel wearable HD-EMG sensor with shift-robust gesture recognition using deep learning
In this work, we present a hardware-software solution to improve the robustness of hand
gesture recognition to confounding factors in myoelectric control. The solution includes a …
gesture recognition to confounding factors in myoelectric control. The solution includes a …
Hydra-hgr: A hybrid transformer-based architecture for fusion of macroscopic and microscopic neural drive information
M Montazerin, E Rahimian… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Development of advance surface Electromyogram (sEMG)-based Human-Machine Interface
(HMI) systems is of paramount importance to pave the way towards emergence of futuristic …
(HMI) systems is of paramount importance to pave the way towards emergence of futuristic …
Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique
P Rani, S Pancholi, V Shaw, M Atzori… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This study addresses two critical aspects of gesture classification: data acquisition and
feature extraction. It introduces an efficient surface electromyogram (sEMG) acquisition band …
feature extraction. It introduces an efficient surface electromyogram (sEMG) acquisition band …
Light-weight CNN-attention based architecture for hand gesture recognition via electromyography
S Zabihi, E Rahimian, A Asif… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Advancements in Biological Signal Processing (BSP) and Machine-Learning (ML) models
have paved the path for development of novel immersive Human-Machine Interfaces (HMI) …
have paved the path for development of novel immersive Human-Machine Interfaces (HMI) …
Integration and Validation of an Event-driven sEMG-based Embedded Prototype for Real-time Facial Expression Recognition
L Giannantoni - 2023 - webthesis.biblio.polito.it
Facial Expression Recognition has demonstrated significant potential in biomedical
research area: evaluation of emotional well-being, support in non-verbal communication …
research area: evaluation of emotional well-being, support in non-verbal communication …
Light-Weight CNN-Attention Based Architecture Trained with a Hybrid Objective Function for EMG-Based Human Machine Interfaces
S Zabihi, E Rahimian, A Asif, S Yanushkevich… - Transactions on …, 2023 - Springer
The presented research focuses on Hand Gesture Recognition (HGR) utilizing Surface-
Electromyogram (sEMG) signals. This is due to its unique potential for decoding wearable …
Electromyogram (sEMG) signals. This is due to its unique potential for decoding wearable …
An Efficient Deep Learning Approach for sEMG Hand Gesture Classification
Amputees face psychological and sensory issues in their daily lives due to missing essential
human activities and shape. Fortunately, prosthetic solutions can reduce the gap between …
human activities and shape. Fortunately, prosthetic solutions can reduce the gap between …
Hybrid Wearable Signal Processing/Learning via Deep Neural Networks
S Zabihi - 2023 - spectrum.library.concordia.ca
Wearable technologies are gaining considerable attention in recent years as a potential post-
smartphone platform with several applications of significant engineering importance …
smartphone platform with several applications of significant engineering importance …
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CNN Light-Weight, S Zabihi¹, E Rahimian… - Transactions on …, 2023 - books.google.com
The presented research focuses on Hand Gesture Recognition (HGR) utilizing Surface-
Electromyogram (EMG) signals. This is due to its unique potential for decoding wearable …
Electromyogram (EMG) signals. This is due to its unique potential for decoding wearable …
Live Demonstration: A Wearable Armband for Real-Time Control of Multi-DOF Robotic Actuators
This demonstration presents a smart wearable armband for hand gesture recognition
interfaced with a 6-DOF robotic arm which actuates the user's movements. The armband is …
interfaced with a 6-DOF robotic arm which actuates the user's movements. The armband is …