Storing and communicating secret and/or private information has become part of our daily
life whether it is for our employment or personal well-being. Therefore, secure storage and …

Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …

In this paper, we propose a novel multimodal framework for isolated Sign Language
Recognition (SLR) using sensor devices. Microsoft Kinect and Leap motion sensors are …

We propose in this paper a framework for recognizing the sign language alphabet. To
separate hand images from complex backgrounds, we use skin colour and texture attributes …

This paper presents a hand gesture recognition system which addresses the effect of
variations in gesture pattern during gesticulation. Different gestures can be gesticulated in …

In the recent era of smart world, smarter technologies are gaining focus on human computer
interaction (HCI) systems, and traditional ways like remote control, mouse, keyboard, etc. are …

Hand gesture recognition has been applied to many fields in recent years, especially in man-
machine interaction (MMI) area, which is regarded as a more natural and flexible input. In …

In many dynamic hand gesture recognition contexts, time information is not adequately
used. The extracted features of dynamic gestures usually do not carry explicit information …

Hand gesture recognition is progressively becoming a mature technology as a result of
significant investment in human-machine interaction. The requirements of human-machine …

This paper presents implementation of a hand gestures tracking system with a fully
connected multilayer perceptron and a supervised sequential learning algorithm on low cost …