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

In this paper, a 3D computer vision system for cognitive assessment and rehabilitation
based on the Kinect device is presented. It is intended for individuals with body scheme …

In this paper, we propose an automatic system that recognizes both isolated and continuous
gestures for Arabic numbers (0-9) in real-time based on hidden Markov model (HMM). To …

Human–robot interaction (HRI) has become a research hotspot in computer vision and
robotics due to its wide application in human–computer interaction (HCI) domain. Based on …

Gesture based natural human-robot interface is an important function of robot teleoperation
system. Such interface not only enables users to manipulate a remote robot by …

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 is concerned with the recognition of dynamic hand gestures. A method based on
Hidden Markov Models (HMMs) is presented for dynamic gesture trajectory modeling and …

Gesture recognition is a challenging task for extracting meaningful gesture from continuous
hand motion. In this paper, we propose an automatic system that recognizes isolated …

We have developed an efficient mechanism for real-time hand gesture recognition based on
the trajectory of hand motion and the hidden Markov models classifier. In our system, we …