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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
great significance to recognize sign language more quickly and accurately on embedded …