… the process of feature extraction from meta data by processing it through a number of … deep
learning architecture using convolutional neural network to recognize the static hand gestures…

… Based on the deep learning of the convolution neural network method [31] has a local
perception area, hierarchical structure, feature extraction and classification process and so on, …

… In this paper, we use a miniature radar sensor to capture Doppler signatures of … hand
gestures and train a deep convolutional neural network (DCNN) to classify these captured gestures…

… The hand gestures are the foundation of sign language… deep learning based convolutional
neural network (CNN) model is specifically designed for the recognition of gesture-based sign …

… recognition of hand gestures. It also analyzes the effect of data augmentation in deep learning…
data augmentation has a huge effect in deep learning. Although the system can recognize …

… software system based on deep learning neural networks. It is our … in deep learning network
based hand gesture recognition. The … of deep learning. Section 3 gives an overview of the …

… convolutional neural network (CNN) was implemented to decode hand gestures from the
sEMG data recorded from … With advancements in deep learning, many studies have explored …

… to other deep learning models. By using YOLOv3, our hand gesture recognition system has
… Furthermore, we will design a more advanced convolution neural network with data fusion, …

… Vision based dynamic hand gesture recognition has become a hot research topic due to its
… a novel deep learning network for hand gesture recognition. The network integrates several …

… a vision based gesture recognition approach using deep convolutional neural networks (CNNs) …
singletime activations are performed for deep learning based hand gesture recognition. …