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An Automatic Learning Gesture Recognition Interface for Dismounted Soldier Training Systems

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This project implemented a gesture recognition system that performs in a cluttered background environment using standard video and an inexpensive PC-based system without the use of attached data-gloves or beacons. We used the dynamic and static properties of gestures for real-time recognition, using these properties for command inputs into the Dismounted Battle Space Battle Lab and the Land Warrior simulator, thereby greatly expanding the utility of these systems for interaction and training.


Improved Gesture Recognition Toolkit/API.


Completed for Army STRICOM.

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