Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

In the recent past, research in the field of automatic sign language recognition using
machine learning methods have demonstrated remarkable success and made momentous …

Abstract Human Motion Analysis (HMA) is currently one of the most popularly active
research domains as such significant research interests are motivated by a number of real …

One of the ways to communicate with deaf and dumb individuals is through sign language.
So, in order to speak with deaf and dumb people, one should learn sign language; yet …

Ever since the assemblage of the first computer, efforts have been made to improve the way
people could use machines. Recently, the usage of smart environments has become …

This paper introduces a fuzzy rule-based method for the recognition of hand gestures
acquired from a data glove, with an application to the recognition of some sample hand …

This paper presents an improved hand tracking system using pixel-based hierarchical-
feature AdaBoosting (PBHFA), skin color segmentation, and codebook (CB) background …

Sign Language, a language that uses a system of manual, facial, and other body
movements as the means of communication, is the primary means of communication for …

The purpose of this paper is to develop a real-time human-robot interaction with hand
gesture recognition which can be constructed combining color and shape cues. There are …

There are very few interfacing technologies to manipulate real-time behavior for operating
computer systems. During a presentation, it is inconvenient to control the computer and …