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 ...

• Type: Conference
• Year: 2003
• Where: ICVS
• Authors: Guangqi Ye, Jason J. Corso, Darius Burschka, Gregory D. Hager
• Keywords: ICVS 2003, Many Vision-Based Human-Computer, VICs Include Color, Visual Interface Cues