Hand gesture recognition techniques have been studied for more than two decades. Several solutions have been developed; however, little attention has been paid on the human factors, e.g. the intuitiveness of the applied hand gestures. This study was inspired by the movie Minority Report, in which a gesture-based interface was presented to a large audience. In the movie, a video-browsing applica...

This paper reports on a method developed for extracting and analyzing head gestures taken from motion capture data of spontaneous dialogue in Swedish. The head gestures were extracted automatically and then manually classified using a 3D player which displays time-synced audio and 3D point data of the motion capture markers together with animated characters. Prosodic features were extracted fro...

Human facial gestures often exhibit such natural stochastic variations as how often the eyes blink, how often the eyebrows and the nose twitch, and how the head moves while speaking. The stochastic movements of facial features are key ingredients for generating convincing facial expressions. Although such small variations have been simulated using noise functions in many graphics applications, ...

Previous research has found that iconic gestures (i.e., gestures that depict the actions, motions or shapes of entities) identify referents that are also lexically specified in the co-occurring speech produced by proficient speakers. This study examines whether concrete deictic gestures (i.e., gestures that point to physical entities) bear a different kind of relation to speech, and whether thi...

When expressing information about spatial domains, humans frequently accompany their speech with iconic gestures that depict spatial, imagistic features. For example, when giving directions, it is common to see people indicating the shape of buildings, and their spatial relationship to one another, as well as the outline of the route to be taken by the listener, and these gestures can be essent...

Human communication relies on a large number of different communication mechanisms like spoken language, facial expressions, or gestures. Facial expressions and gestures are one of the main nonverbal communication mechanisms and pass large amounts of information between human dialog partners. Therefore, to allow for intuitive human-machine interaction, a real-time capable processing and recogni...

A combination of impaired motor and cognitive function in Parkinson's disease (PD) can impact on language and communication, with patients exhibiting a particular difficulty processing action verbs. Co-speech gestures embody a link between action and language and contribute significantly to communication in healthy people. Here, we investigated how co-speech gestures depicting actions are affec...

This work develops a framework for recognition of two hand dynamic gestures, using condensation algorithm. The work is broadly divided into three parts. First part of this work deals with skin color identification using color segmentation using' Gaussian Mixture Model'. In the Second part hand motions are modeled as trajectories of some estimated parameters over time. During training, one templ...

Human gesture recognition is an area, which has been studied thoroughly in recent years, and close to 100% recognition rates in restricted environments have been achieved, often either with single separated gestures in the input stream, or with computationally intensive systems. The results are unfortunately not as striking, when it comes to a continuous stream of gestures. In this paper we int...