The use of hand gestures provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of hand gestures can help in achieving the ease and naturalness desired for HCI. We survey the literature on vision-based hand gesture recognition within the context of its role in HCI. The number of approaches to video-based hand gesture recognition has grown in recent years. Thus, the need for systematization and analysis of different aspects of gestural interaction has developed. We discuss a complete model of hand gestures that possesses both spatial and dynamic properties of human hand gestures and can accommodate for all their natural types. Two classes of models that have been employed for interpretation of hand gestures for HCI are considered. The first utilizes 3D models of the human hand, while the second relies on the appearance of the human hand in the image. Investigation of model parameters and analysis feat...

This paper presents a method for learning, tracking, and recognizing human gestures using a view-based approach to model both object and behavior. Object views are represented using sets of view models, rather than single templates. Stereotypical space-time patterns, i.e. gestures, are then matched to stored gesture patterns using dynamic time warping. Real-time performance is achieved by using special-purpose correlation hardware and view prediction to prune as much of the search space as possible. Both view models and view predictions are learned from examples. We present results showing tracking and recognition of human hand gestures at over 10Hz. 1 Introduction The location and orientation of head, hand, and eyes is a critical element of all human dialog. The ability to follow objects moving through space and recognize particular motions as meaningful gestures is therefore essential if computer systems are to interact naturally with human users [2, 6]. Currently, however, this inf...

Hand gestures are a form of communication among people. Yet we still limit human-computer interaction to cumbersome mice movements. The use of hand gestures in the field of human-computer interaction has attracted new interest in the past several years. Special glove-based devices have been developed to analyze finger and hand motion and use them to manipulate and explore virtual worlds. To further enrich the naturalness of the interaction, different computer vision-based techniques have been brought into use. At the same time the need for more efficient systems has resulted in new gesture modeling approaches. In this paper we present a review of the most recent work related to hand gesture modeling, analysis and synthesis. We describe four major classes of hand gesture interface techniques: glove-based techniques, vision-based techniques, techniques that use drawing gestures, and other gesture analysis techniques. A brief description of more than thirty gesture-interface systems is pr...

Video analysis of human dynamics is an important area of research devoted to detecting people and understanding their dynamic physical behavior in a complex environment that can be used for biometric applications. This paper provides a detailed survey of the various studies in areas related to the tracking of people and body parts such as face, hands, fingers, legs, etc., and modeling behavior using motion analysis. 1.

This document presents a review on gestures for multi-modal interfaces and focus on hand gestures. It rst introduces the role that the gesture modality plays in human communication. It then describes dierent types of gestures. Finally, it gives an overview of many techniques for the recognition of hand gestures.