The Frankfurt Image GestURE corpus (FIGURE) is introduced. The corpus data is collected in an experimental setting where 50 naı̈ve participants spontaneously produced gestures in response to five to six terms from a total of 27 stimulus terms. The stimulus terms have been compiled mainly from image schemata from psycholinguistics, since such schemata provide a panoply of abstract contents derive...

Designing an extensive set of mid-air gestures that are both easy to learn and perform quickly presents a significant challenge. Further complicating this challenge is achieving high-accuracy detection such using commonly available hardware, like 2D commodity camera. Previous work often proposed smaller, application-specific gesture sets, requiring specialized hardware struggling with adaptabil...

Abstract The present study contributes to the understanding of physics students’ representational competence by examining specific bodily practices (e.g. gestures, enactment) interaction and constructions representations in relation a digital learning environment. We analyse video data upper-secondary school with GeoGebra simulation friction. Our analysis is based on assumption that, collaborat...

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

Hand gestures are important in human communication. It is difficult to transmit visual or spatial concepts only with oral communication (communication human to human) or by regular user interfaces(communication human to machine): keyboard, mouse, etc. The systems of hand gestures recognition are nowadays mainly oriented to the recognition of predefined sets of gestures. This is useful for appli...

This proposal presents an evolutionary analysis of three types co-speech gestures: symbolic emblems, indexical pointing gestures and iconic representational gesticulations. Synthesizing insights from a range published sources in gestural studies, general linguistics sign language linguistics, primate studies analyses biological evolution, these are analyzed as evolved traits adapted to particul...

Symbolic gestures, such as pantomimes that signify actions (e.g., threading a needle) or emblems that facilitate social transactions (e.g., finger to lips indicating "be quiet"), play an important role in human communication. They are autonomous, can fully take the place of words, and function as complete utterances in their own right. The relationship between these gestures and spoken language...

In this paper, we present a system for real-time recognition of user-defined static hand gestures captured via a traditional web camera. We use SURF descriptors to get the bag-of-visual-words features of the user’s hand, and use these features to train a multi-class supervised learning model. We choose the best learning model from (SVM, Neural Networks, Decision Trees, and Random Forests) and t...

This paper introduces a new representation of hand motions for tracking and recognizing hand-finger gestures in an image sequence. A human hand has many joints, for example our hand model has 15, and its high dimensionality makes it difficult to model hand motions. To make things easier, it is important to represent a hand motion in a low dimensional space. Principle component analysis (PCA) ha...