Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …

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 …

As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …

Dynamic hand gesture recognition is a desired alternative means for human-computer
interactions. This paper presents a hand gesture recognition system that is designed for the …

Motion recognition is a topic in software engineering and dialect innovation with a goal of
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …

This paper proposes a gesture recognition method using convolutional neural networks. The
procedure involves the application of morphological filters, contour generation, polygonal …

Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …

Hand gestures recognition (HGR) is one of the main areas of research for the engineers,
scientists and bioinformatics. HGR is the natural way of Human Machine interaction and …

ABSTRACT Mel Frequency Ceptral Coefficient is a very common and efficient technique for
signal processing. This paper presents a new purpose of working with MFCC by using it for …

Static hand gesture recognition involves interpretation of hand shapes by a computer. This
work addresses three main issues in developing a gesture interpretation system. They are (i) …