LSTM recurrent neural network for hand gesture recognition using EMG signals

A Toro-Ossaba, J Jaramillo-Tigreros, JC Tejada… - Applied Sciences, 2022 - mdpi.com
Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …

Applying deep neural networks for the automatic recognition of sign language words: A communication aid to deaf agriculturists

A Venugopalan, R Reghunadhan - Expert Systems with Applications, 2021 - Elsevier
One of the major challenges that deaf people face in modern societal life is communication.
For those engaged in agricultural jobs, efficiency at work and productivity are deeply related …

An integrated real-time hand gesture recognition framework for human–robot interaction in agriculture

V Moysiadis, D Katikaridis, L Benos, P Busato… - Applied Sciences, 2022 - mdpi.com
Incorporating hand gesture recognition in human–robot interaction has the potential to
provide a natural way of communication, thus contributing to a more fluid collaboration …

[HTML][HTML] A comparative study of advanced technologies and methods in hand gesture analysis and recognition systems

MM Rahman, A Uzzaman, F Khatun… - Expert Systems with …, 2024 - Elsevier
Hand gesture recognition is progressively becoming a mature technology as a result of
significant investment in human-machine interaction. The requirements of human-machine …

Hand gesture recognition using densely connected deep residual network and channel attention module for mobile robot control

JP Sahoo, SP Sahoo, S Ari… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Navigating a mobile robot in an indoor or outdoor environment is an interesting research
area for human–robot collaboration (HRC). In such a scenario, hand gesture offers some …

Robust hand gesture recognition using HOG-9ULBP features and SVM model

J Li, C Li, J Han, Y Shi, G Bian, S Zhou - Electronics, 2022 - mdpi.com
Hand gesture recognition is an area of study that attempts to identify human gestures
through mathematical algorithms, and can be used in several fields, such as communication …

Domain adaptation with contrastive simultaneous multi-loss training for hand gesture recognition

J Baptista, V Santos, F Silva, D Pinho - Sensors, 2023 - mdpi.com
Hand gesture recognition from images is a critical task with various real-world applications,
particularly in the field of human–robot interaction. Industrial environments, where non …

A versatile interaction framework for robot programming based on hand gestures and poses

D Sun, P Zhang, M Chen - Robotics and Computer-Integrated …, 2023 - Elsevier
This paper proposes a framework for industrial and collaborative robot programming based
on the integration of hand gestures and poses. The framework allows operators to control …

Objective evaluation of clutter suppression for micro-Doppler spectrograms of hand gesture/sign language based on pseudo-reference image

B Li, Y Yang, L Yang, C Fan - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Gesture and sign language (SL) recognition technology enables machines to understand
the meaning of human hand movements. In human–computer interaction, it is expected that …

ShuffleNetv2-YOLOv3: a real-time recognition method of static sign language based on a lightweight network

S Sun, L Han, J Wei, H Hao, J Huang, W Xin… - Signal, Image and Video …, 2023 - Springer
To better meet the communication needs of hearing impaired people and the public, it is of
great significance to recognize sign language more quickly and accurately on embedded …