Static hand gesture recognition using convolutional neural network with data augmentation

MZ Islam, MS Hossain, R ul Islam… - 2019 Joint 8th …, 2019 - ieeexplore.ieee.org
Computer is a part and parcel in our day to day life and used in various fields. The
interaction of human and computer is accomplished by conventional input devices like …

Hand gesture recognition via enhanced densely connected convolutional neural network

YS Tan, KM Lim, CP Lee - Expert Systems with Applications, 2021 - Elsevier
Hand gesture recognition (HGR) serves as a fundamental way of communication and
interaction for human being. While HGR can be applied in human computer interaction (HCI) …

Hand gesture recognition using an adapted convolutional neural network with data augmentation

AA Alani, G Cosma, A Taherkhani… - 2018 4th International …, 2018 - ieeexplore.ieee.org
Hand gestures provide a natural way for humans to interact with computers to perform a
variety of different applications. However, factors such as the complexity of hand gesture …

An efficient hand gesture recognition system based on deep CNN

HY Chung, YL Chung, WF Tsai - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The goal of this paper is to use a webcam to instantly track the region of interest (ROI),
namely, the hand region, in the image range and identify hand gestures for home appliance …

Hand gesture recognition using PCA based deep CNN reduced features and SVM classifier

JP Sahoo, S Ari, SK Patra - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Automatic recognition of vision based static hand gesture images is a challenging task due
to illumination changes, diversity in user hand shape and high inter class similarities. This …

CNN+ RNN depth and skeleton based dynamic hand gesture recognition

K Lai, SN Yanushkevich - 2018 24th international conference …, 2018 - ieeexplore.ieee.org
Human activity and gesture recognition is an important component of rapidly growing
domain of ambient intelligence, in particular in assisting living and smart homes. In this …

Hand gesture recognition with convolution neural networks

F Zhan - 2019 IEEE 20th international conference on …, 2019 - ieeexplore.ieee.org
Hand gestures are the most common forms of communication and have great importance in
our world. They can help in building safe and comfortable user interfaces for a multitude of …

Real-time hand gesture recognition using fine-tuned convolutional neural network

JP Sahoo, AJ Prakash, P Pławiak, S Samantray - Sensors, 2022 - mdpi.com
Hand gesture recognition is one of the most effective modes of interaction between humans
and computers due to being highly flexible and user-friendly. A real-time hand gesture …

Deep gesture: static hand gesture recognition using CNN

A Mohanty, SS Rambhatla, RR Sahay - Proceedings of International …, 2017 - Springer
Hand gestures are an integral part of communication. In several scenarios hand gestures
play a vital role by virtue of them being the only means of communication. For example hand …

Real-time hand gesture recognition model using deep learning techniques and EMG signals

EA Chung, ME Benalcázar - 2019 27th European signal …, 2019 - ieeexplore.ieee.org
Gesture recognition has multiple applications in medicine, engineering and robotics. It also
allows us to develop new and more natural approaches to human-machine interaction. Real …