This paper proposes a robust approach to recognize hand gesture which involves face parts like chin, cheeks, eyes and head in the context of sign language recognition and also attacks the problem of interference between face and hand. ICondensation algorithm is used to track the face, skin color segmentation is applied on face to eliminate eyes, and simple four quadrant multi clue information o...

With the rapid emergence of 3D applications and virtual environments in computer systems; the need for a new type of interaction device arises. This is because the traditional devices such as mouse, keyboard, and joystick become inefficient and cumbersome within these virtual environments. In other words, evolution of user interfaces shapes the change in the Human-Computer Interaction (HCI). In...

Hand-over-face gestures, a subset of emotional body language, are overlooked by automatic affect inference systems. We propose the use of hand-over-face gestures as a novel affect cue for automatic inference of cognitive mental states. Moreover, affect recognition systems rely on the existence of publicly available datasets, often the approach is only as good as the data. We present the collect...

Abstr act. Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in uncontrolled environments. A novel tracking method is introduced to track multiple hand candidates from the first frame. The movement dire...

We describe two empirical studies of how professionals explain documents to lay clients who have varying levels of knowledge about the domain under discussion. We find that hand gestures, and in particular deictic gestures by the professional at various parts of the document play a major role in explanations of documents with clients in face-to-face settings. We describe a preliminary computati...

Gesture Recognition Technology has evolved greatly over the years. The past has seen the contemporary Human – Computer Interface techniques and their drawbacks, which limit the speed and naturalness of the human brain and body. As a result gesture recognition technology has developed since the early 1900s with a view to achieving ease and lessening the dependence on devices like keyboards, mice...