Vision-based hand segmentation techniques for human-robot interaction for real-time applications
نویسندگان
چکیده
One of the most important tasks in hand recognition applications for human-robot interaction is hand segmentation. This work presents a method that uses a Microsoft Kinect camera, for hand localization and segmentation. One important aspect for robot control besides hand localization is hand orientation, which is used in this work to control robot heading direction (left or right) and linear velocity. The system first calculates hand position, and then a kalman filter is used to estimate displacement and linear velocity in a smoother way. Experimental results show that the system is easy to use, and can be applied on several different humancomputer interface applications.
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