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Due to ever increasing challenges and complexity, there is a high demand for new human-machine interaction approaches in crisis response scenarios. We aim at building a smart crisis response control room, in which vision-based perception of users will be used to facilitate innovative user interfaces and to support teamwork. Our control room is equipped with several cameras and has a videowall as the main interaction device. Using real-time computer vision, we can track and identify the users in the room, and estimate their head orientations and pointing gestures. In the near future, the room will also be equiped with speech recognition. In order to build a useful smart control room for crisis response, we are currently focusing on situation modeling for such rooms and we are investigating the target crisis response scenarios.
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May Gul
1.
Ik ben may
Ik deel vaak met mijn zus en ik speel veel met mijn zus
2.