… 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…

… convolutional neural network (CNN) to enable the identification of various hand gestures. In
the present study, two deep CNN architectures modified from the AlexNet CNN and VGGNet …

… 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, …

… about gesture recognition using convolution neural network. … of gesture classification
using a convolutional neural network… with deep convolutional neural networks. Advances in …

… a system for hand gesture recognition in videos by using deep learning architecture. The
videos are recorded using a Kinect device in a vehicle cabinet. The gestures are performed …

… the feasibility of recognizing human hand gestures using microDoppler signatures … radar
with a deep convolutional neural network (DCNN). Hand gesture recognition using radar can be …

… Distinct person hand gesture is used for validation in this paper. The proposed model … hand
gesture recognition of ASL is presented in this paper, the input gestures are collected using …

… 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…

… There are two types of hand gestures like a glove based and vision-… deep convolutional
neural networks, which used in hand gestures to classify the images held in the hand gesture. …

… hand gesture recognition is presented. The study includes the recognition of hand gestures
based on RGB cameras and depth sensors using machine learning and deep learning …