This paper is concerned with two topics on gesture recognition. The first topic is early recognition for providing the recognition result of a gesture before the gesture is completed. The second topic is motion prediction for guessing the subsequent posture of the person who makes a gesture. Both topics are mutually related and linked to the realization of proactive humanmachine interface. For ...

There seem to be strong links between gestural imagery and musical imagery, and it is suggested that gestural imagery can be instrumental in triggering and sustaining mental images of musical sound. Gestural images are seen as integral to most experiences of music, and several practical and theoretical musical disciplines could profit from focusing on these gestural images. Research in support ...

Human centered human-computer interaction technology tends to replace the traditional computer centered technology with its growing applicability to a wide variety of applications. Acting as a way of most natural communication between human and machine, vision based hand gesture recognition is becoming the pursuit of human-computer interaction. General vision based hand gesture recognition gene...

A new technique for description and recognition of human gestures is presented. First, a method is proposed to represent gestures as an ordered sequence of simple basic motions. It is based on the rate of change of gesture motion direction (referred to as \curvature") that is estimated using optical ow from monocular motion images. Then, proceedings from the method, a real-time gesture recognit...

Hand Gesture recognition systems enable people to interact with digital systems naturally. Due to the spread of body motion capture device, depth information is available for getting more delicate and effective gesture recognition results. However, due to the limitation of devices such as Microsoft Kinect, it is still very difficult to obtain hand gesture information in rela-time. This paper pr...

In this paper, we propose a new approach for body gesture recognition. The body motion features considered quantify a set of Laban Movement Analysis (LMA) concepts. These features are used to build a dictionary of reference poses, obtained with the help of a k-medians clustering technique. Then, a soft assignment method is applied to the gesture sequences to obtain a gesture representation. The...

The evolution of technology has risen new possibilities in the so called Natural User Interfaces research area. Among distinct initiatives, several researchers are working with the existing sensors towards improving the support to gesture languages. This article tackles the recognition of gestures, using the Kinect sensor, in order to create a gesture library and support the gesture recognition...

Hand gestures play a significant role in Human Computer Interaction. They serve as primary interaction tools for gesture based computer control. The present work is a part of vision based hand gesture recognition system for Human Computer Interaction. We have proposed an algorithm with the fusion of skin color model and background subtraction that yields robust output in the presence of drastic...

We propose a new appearance-based feature for real-time gesture recognition from motion images. The feature is the shape of the trajectory caused by human gestures, in the "Pattern Space" defined by the inner-product between patterns on frame images. It has three advantages, 1) it is invariant in term of the target human's position, size and lie, 2) it allows gesture recognition without interpr...