Interacting with Digital Signage Using Hand Gestures

Authors:
Qing Chen;François Malric;Yi Zhang;Muhammad Abid;Albino Cordeiro;Emil M. Petriu;Nicolas D. Georganas
Affiliations:
DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5;DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5;Institute of Computer Graphics and Image Processing, Tianjin University, Tianjin, China 300072;DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5;DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5;DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5;DISCOVER Lab, University of Ottawa, Ottawa, Canada K1N 6N5
Venue:
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Year:
2009

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Abstract

Digital signage is a very attractive medium for advertisement and general communications in public open spaces. In order to add interaction capabilities to digital signage displays, special considerations must be taken. For example, the signs' environment and placement might prevent direct access to conventional means of interaction, such as using a keyboard or a touch-sensitive screen. This paper describes a vision-based gesture recognition approach to interact with digital signage systems and discusses the issues faced by such systems. Using Haar-like features and the AdaBoosting algorithm, a set of hand gestures can be recognized in real-time and converted to gesture commands to control and manipulate the digital signage display. A demonstrative application using this gesture recognition interface is also depicted.