Gesture Recognition Based on Deep Learning: A Review

M Wu - EAI Endorsed Transactions on e-Learning, 2024 - publications.eai.eu
Gesture recognition is an important and inevitable technology in modern times, its
appearance and improvement greatly improve the convenience of people's lives, but also …

[HTML][HTML] EMG-based dynamic hand gesture recognition using edge AI for human–robot interaction

ES Kim, JW Shin, YS Kwon, BY Park - Electronics, 2023 - mdpi.com
Recently, human–robot interaction technology has been considered as a key solution for
smart factories. Surface electromyography signals obtained from hand gestures are often …

[HTML][HTML] A Proposal of Bioinspired Soft Active Hand Prosthesis

A Toro-Ossaba, JC Tejada, S Rúa, A López-González - Biomimetics, 2023 - mdpi.com
Soft robotics have broken the rigid wall of interaction between humans and robots due to
their own definition and manufacturing principles, allowing robotic systems to adapt to …

[HTML][HTML] Electromyogram (EMG) signal classification based on light-weight neural network with FPGAs for wearable application

HS Choi - Electronics, 2023 - mdpi.com
Recently, the application of bio-signals in the fields of health management, human–
computer interaction (HCI), and user authentication has increased. This is because of the …

DeepTPA-Net: A Deep Triple Attention Network for sEMG-Based Hand Gesture Recognition

Q Li, Z Luo, R Qi, J Zheng - IEEE Access, 2023 - ieeexplore.ieee.org
The use of hand gestures for human-computer interaction (HCI) has gained popularity due
to its ability to provide natural and intuitive communication in human dialogues. Hand …

[HTML][HTML] CNN-LSTM and post-processing for EMG-based hand gesture recognition

LIB López, FM Ferri, J Zea, ÁLV Caraguay… - Intelligent Systems with …, 2024 - Elsevier
Abstract Hand Gesture Recognition (HGR) using electromyography (EMG) signals is a
challenging problem due to the variability and noise in the signals across individuals. This …

Wearable technologies for monitoring upper extremity functions during daily life in neurologically impaired individuals

T Proietti, A Bandini - IEEE transactions on neural systems and …, 2024 - ieeexplore.ieee.org
Neurological disorders, including stroke, spinal cord injuries, multiple sclerosis, and
Parkinson's disease, generally lead to diminished upper extremity (UE) function, impacting …

[HTML][HTML] A 3D Printed, Bionic Hand Powered by EMG Signals and Controlled by an Online Neural Network

K Avilés-Mendoza, NG Gaibor-León, V Asanza… - Biomimetics, 2023 - mdpi.com
About 8% of the Ecuadorian population suffers some type of amputation of upper or lower
limbs. Due to the high cost of a prosthesis and the fact that the salary of an average worker …

[HTML][HTML] Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism

J Wu, P Ren, B Song, R Zhang, C Zhao, X Zhang - Plos one, 2023 - journals.plos.org
As a novel form of human machine interaction (HMI), hand gesture recognition (HGR) has
garnered extensive attention and research. The majority of HGR studies are based on visual …

Optimized k-nearest neighbors for classification of prosthetic hand movements using electromyography signal

P Sahu, BK Singh, N Nirala - Engineering Applications of Artificial …, 2024 - Elsevier
Electromyography (EMG) signals are essential, as they are used to measure muscular
activity in different parts of the human body. The measurement and analysis of EMG signal …