This paper presents an integrated approach for tracking hands, faces and specific facial features (eyes, nose, and mouth) of multiple persons in image sequences. For hand and face tracking, we employ a state-of-the-art blob tracker which is specifically trained to track skin-colored regions. The skin-color tracker is extended by incorporating an incremental probabilistic classifier used to main...

When working with sample-based media, a performer i s managing timelines, loop points, sample parameters and effects parameters. The Slidepipe is a performance controller that gives the artist a visually simple way to work with their material. Its design is modular and lightweight, so it can be easily transported and quickly assembled. Also, its large stature magnifies the gestures associated w...

Vision-based hand gesture recognition is a popular research topic for Human-Machine Interaction (HMI). Hand gestures having both local and global motions are most common form of gestures. Examples of such gestures are signs used in different sign languages. Recognition of these gestures require both the hand trajectory and hand shape information. The proposed system is designed so that it can d...

A facial gesture analysis procedure is presented for the control of animated faces. Facial images are partitioned into a set of local, independently actuated regions of appearance change termed co-articulation regions (CRs). Each CR is parameterized by the activation level of a set of face gestures that affect the region. The activation of a CR is analyzed using independent component analysis (...

This paper describes the implementation of Time Delay Neural Networks (TDNN) to recognize gestures from video images. Video sources are used because they are non-invasive and do not inhibit performer's physical movement or require specialist devices to be attached to the performer which experience has shown to be a significant problem that impacts musicians performance and can focus musical reh...

After the advent of computers, we have come to the stage where we can’t imagine a day without interacting with the computers. When the computer interaction is playing such an important role, it would not be wise if we don’t try to enhance the way we interact with the computer. So, the mechanism we propose helps to enhance the way we interact with the computer without any aid from any external d...

Abstract Hand gesture recognition from video images is of considerable interest as a means of providing simple and intuitive man-machine interfaces. Possible applications range from replacing the mouse as a pointing device to virtual reality and communication with the deaf. We describe an approach to tracking a hand in an image sequence and recognising, in each video frame, which of five gestur...

BACKGROUND Myoelectric controlled prosthetic hand requires machine based identification of hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles. This study has observed that a sub-set of the hand gestures have to be selected for an accurate automated hand gesture recognition, and reports a method to select these gestures to maximize the sensitivity and specificity...