In this paper, we present effective and efficient gesture recognition algorithms for building a system to support remote collaborative physical tasks using tablet PCs. We discuss problems of gesture recognition in detail. We use a variable window to extract curvature changes to form invariant local features. We then employ a hierarchical classifier that consists of hidden Markov model (HMM) and...

Robots coexisting with humans in everyday environments should be able to interact with them in an intuitive way. This requires that the robots are able to recognize typical gestures performed by humans such as pointing gestures, waving, or head shaking/nodding. We present a system that is able to spot and recognize complex, parameterized gestures from data of a monocular camera. To represent pe...

In this article I demonstrate how listeners understand musical processes with their bodies, and how their gestures can be used to build analytical models. Specifically, I draw on the phenomenology of Maurice Merleau-Ponty to argue that situated, active listeners project their motor intentional gestures inside music, where they reconstitute the very nature of musical space and its objects accord...

We present a statistical approach to assess relations that hold among speech and pointing gestures in and between turns in task-oriented dialogue. The units quantified over are the time-stamps of the XML-based annotation of the digital video data. It was found that, on average, gesture strokes do not exceed, but are freely distributed over the time span of their linguistic affiliates. Further, ...

Gestures can take on complex forms that convey both pragmatic and expressive information. When creating virtual agents, it is necessary to make fine grained manipulations of these forms to precisely adjust the gesture’s meaning to reflect the communicative content an agent is trying to deliver, character mood and spatial arrangement of the characters and objects. This paper describes a gesture ...

This paper proposes the enhancement in the design of adjustable pedals in automotive by incorporating gesture recognition methodologies. The design addresses the three primary controls: Accelerator, Brake and Clutch. Mechanical input of driver’s feet is deduced at location variant adjustable pedals in terms of feet gestures. Research work aims vision based technology for the feet gesture recogn...

Vision-based hand gesture recognition is a popular research topic for Human-Machine Interaction (HMI). Hand gestures having both local and global motions are most common form of gestures. Examples of such gestures are signs used in different sign languages. Recognition of these gestures require both the hand trajectory and hand shape information. The proposed system is designed so that it can d...

We argue that touch-based gestures on touchscreen devices enable the threat of a form of persistent and ubiquitous tracking which we call touch-based tracking. Touch-based tracking goes beyond the tracking of virtual identities and has the potential for cross-device tracking as well as identifying multiple users using the same device. We demonstrate the likelihood of touchbased tracking by focu...