People gesture when they speak. Despite considerable attention from a variety of disciplines, the precise nature of the relation between gesture, speech and thought has remained elusive. The research reported here considers two very different hypotheses about the fundamental relationship. By one account, gesture is a consequence of physiological arousal. By another account, gesture use reflects...

This paper discusses the use of computer vision for interpreting human gesture. We first present the functional roles of human gesture and observe that in real life, gesture may be enhanced with physical instruments. In Human Computer Interaction, input devices such as the data-glove, are convenient tricks for computer scientists to sense human gesture but are not necessarily ecological instrum...

We present a formal analysis of iconic coverbal gesture. Our model describes the incomplete meaning of gesture that’s derivable from its form, and the pragmatic reasoning that yields a more specific interpretation. Our formalism builds on established models of discourse interpretation to capture key insights from the descriptive literature on gesture: synchronous speech and gesture express a si...

Evaluating physical discomfort of designed gestures is important for creating safe and usable gesture-based interaction systems; yet, gestural discomfort evaluation has not been extensively studied in HCI, and few evaluation methods seem currently available whose utility has been experimentally confirmed. To address this, this study empirically demonstrated the utility of the subjective rating ...

Gesture spotting is the challenging task of locating the start and end frames of the video stream that correspond to a gesture of interest, while at the same time rejecting non-gesture motion patterns. This paper proposes a new gesture spotting and recognition algorithm that is based on the continuous dynamic programming (CDP) algorithm, and runs in real-time. To make gesture spotting efficient...

There is a growing interest in ‘unlocking’ the motor skills of expert musicians. Motivated by this need, the main objective of this paper is to present a new way of modeling expressive gesture variations in musical performance. For this purpose, the 3D gesture recognition engine ‘x2Gesture’ (eXpert eXpressive Gesture) has been developed, inspired by the Gesture Variation Follower, which is init...

This paper discuss of basic of gesture recognition (GR) concept its various types, methods and approaches for recognizing a gesture as well as its application. Basically Gesture Recognition means identification and recognition of gestures of body motion, which can originate from face or hand. Gesture recognition it is also a topic in computer science engineering and language technology which in...

With the persistent spreading of computer technology in our everyday life and the resulting interaction between human and computer in many different situations, hand gesture interaction is one of the many interaction techniques becoming more and more important. Several different gesture devices like cameras, devices with integrated accelerometers or computer mice can be used for hand gesture in...

Schizophrenia is characterized by deficits in gesturing that is important for nonverbal communication. Research in healthy participants and brain-damaged patients revealed a left-lateralized fronto-parieto-temporal network underlying gesture performance. First evidence from structural imaging studies in schizophrenia corroborates these results. However, as of yet, it is unclear if cortical thic...

How does sign language compare with gesture, on the one hand, and spoken language on the other? Sign was once viewed as nothing more than a system of pictorial gestures without linguistic structure. More recently, researchers have argued that sign is no different from spoken language, with all of the same linguistic structures. The pendulum is currently swinging back toward the view that sign i...