In recent years, we have observed a strong market penetration of new human-computer interaction techniques based on touch interfaces and gestural analysis. When using gestures, unlike touch interfaces, no physical contact with the user is allowed. We must therefore seek natural and intuitive gestures that are easy to detect and interpret in order to improve user experience. In this paper, we propose a new flexible approach to navigate a multimedia kiosk based on hand movement tracking and gesture recognition. We present a review of the state of the art on the use of gestures in interactive applications, followed by implementation details about our 3D environment and our gesture recognition approach. A use case scenario for our system is discussed along with results obtained from user experiments. Finally, we detail the limitations of this system and possible improvements.