VICs: A Modular Vision-Based HCI Framework

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VICs: A Modular Vision-Based HCI Framework
Many Vision-Based Human-Computer Interaction (VB-HCI) systems are based on the tracking of user actions. Examples include gazetracking, head-tracking, finger-tracking, and so forth. In this paper, we present a framework that employs no user-tracking; instead, all interface components continuously observe and react to changes within a local image neighborhood. More specifically, components expect a pre-defined sequence of visual events called Visual Interface Cues (VICs). VICs include color, texture, motion and geometric elements, arranged to maximize the veridicality of the resulting interface element. A component is executed when this stream of cues has been satisfied. We present a general architecture for an interface system operating under the VIC-Based HCI paradigm, and then focus specifically on an appearance-based system in which a Hidden Markov Model (HMM) is employed to learn the gesture dynamics. Our implementation of the system successfully recognizes a button-push with ...
Guangqi Ye, Jason J. Corso, Darius Burschka, Grego
Added 07 Jul 2010
Updated 07 Jul 2010
Type Conference
Year 2003
Where ICVS
Authors Guangqi Ye, Jason J. Corso, Darius Burschka, Gregory D. Hager
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