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A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System
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 Title & Authors
A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System
Kim, Tae-Wan; Kwon, Soon-Ryang; Lee, Dong Myung;
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A Compensation Algorithm for The Position of the User Hands based on the Moving Mean-Shift () in Human Robot Interface (HRI) System running the Kinect sensor is proposed in order to improve the performance of the gesture recognition is proposed in this paper. The average error improvement ratio of the trajectories () in left-right movements of hands for the is compared with other compensation algorithms such as the Compensation Algorithm based on the Compensation Algorithm based on the Kalman Filter () and the Compensation Algorithm based on Least-Squares Method () by the developed realtime performance simulator. As a result, the in up-down movements of hands of the is measured as 19.35%, it is higher value compared with that of the and the as 13.88% and 16.68%, respectively.
Kinect;Hands Gesture;Gesture Recognition;Compensation;Human Robot Interface;
 Cited by
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