In this era, the interaction between Human and Computers has always been a fascinating
field. With the rapid development in the field of Computer Vision, gesture based recognition …

Coming with the emerging of depth sensors link Microsoft Kinect, human hand gesture
recognition has received ever increasing research interests recently. A successful gesture …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

In the area of human–computer interaction (HCI) and computer vision, gesture recognition
has always been a research hotspot. With the appearance of depth camera, gesture …

Introduction of novel acquisition devices, such as Leap Motion Controller (LMC) and the
Microsoft Kinect system, allows to give a precise informative description of the hand pose …

In this paper it is presented a computational system for recognition and classification of
letters of the sign language in Spanish, designed for helping deaf-mute people to …

Sign language is an important way to provide expression information to people with hearing
and speaking disabilities. Therefore, sign language recognition has always been a very …

This paper proposes a novel method to improve the accuracy of the American Sign
Language fingerspelling recognition. Video sequences from the training set of the …

As an essential component for the usage of neural network, the structure of a neural network
(eg the number of hidden layer and the number of units in each layer) plays an important …

For static gestures image classification problems, this paper proposed a kind of image
recognition method based on the unsupervised feature learning, mainly using the sparse …