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 …

Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Dynamic hand gesture recognition is a crucial but challenging task in the pattern recognition
and computer vision communities. In this paper, we propose a novel feature vector which is …

Novel 3D acquisition devices like depth cameras and the Leap Motion have recently
reached the market. Depth cameras allow to obtain a complete 3D description of the framed …

This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

As the need for sensors increases with the inception of virtual reality, augmented reality and
mixed reality, the purpose of this paper is to evaluate the suitability of the two Kinect devices …

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

In critical applications, such as medical diagnosis, security related systems, and so on, the
cost or risk of action taking based on incorrect classification can be very high. Hence …

Abstract Sign Language Recognition is a breakthrough for helping deaf-mute people and
has been researched for many years. Unfortunately, every research has its own limitations …

In this paper, we propose a glove-based Arabic sign language recognition system using a
novel technique for sequential data classification. We compile a sensor-based dataset of 40 …