Gesture recognition using surface electromyography and deep learning for prostheses hand: state-of-the-art, challenges, and future

W Li, P Shi, H Yu - Frontiers in neuroscience, 2021 - frontiersin.org
Amputation of the upper limb brings heavy burden to amputees, reduces their quality of life,
and limits their performance in activities of daily life. The realization of natural control for …

Real-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review

A Jaramillo-Yánez, ME Benalcázar… - Sensors, 2020 - mdpi.com
Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …

A new deep anomaly detection-based method for user authentication using multichannel surface EMG signals of hand gestures

Q Li, Z Luo, J Zheng - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
User authentication plays an important role in securing systems and devices by preventing
unauthorized accesses. Although surface electromyogram (sEMG) has been widely applied …

Gaze-aware hand gesture recognition for intelligent construction

X Wang, D Veeramani, Z Zhu - Engineering Applications of Artificial …, 2023 - Elsevier
The advances in construction robotics in recent decades has been a powerful driver of
construction automation. User-friendly interfaces to support human–robot work collaboration …

Wearable sensors-based hand gesture recognition for human–robot collaboration in construction

X Wang, D Veeramani, Z Zhu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The development of robotic machines has shown the potential to promote automation in
construction. One of the critical enablers of human–robot collaboration is a user-friendly …

An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems

LIB López, ÁLV Caraguay, VH Vimos, JA Zea… - Sensors, 2020 - mdpi.com
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
sensors are currently largely used over other HGR technologies. However, bracelets are …

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 …

Traffic control hand signal recognition using convolution and recurrent neural networks

T Baek, YG Lee - Journal of Computational Design and …, 2022 - academic.oup.com
Gesture understanding is one of the most challenging problems in computer vision. Among
them, traffic hand signal recognition requires the consideration of speed and the validity of …

SurfMyoAiR: A surface electromyography-based framework for airwriting recognition

A Tripathi, AP Prathosh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Airwriting recognition is the task of identifying letters written in free space with finger
movement. It is a dynamic gesture recognition with the vocabulary of gestures …

Electromyography signal based hand gesture classification system using Hilbert Huang transform and deep neural networks

Y Fouad, MEM Soudagar - Heliyon, 2024 - cell.com
This research aims to provide the groundwork for smartly categorizing hand movements for
use with prosthetic hands. The hand motions are classified using surface electromyography …