A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System

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;

Abstract
A Compensation Algorithm for The Position of the User Hands based on the Moving Mean-Shift ($\small{CAPUH_{MMS}}$) 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 ($\small{AEIR_{TJ}}$) in left-right movements of hands for the $\small{CAPUH_{MMS}}$ is compared with other compensation algorithms such as the Compensation Algorithm based on the Compensation Algorithm based on the Kalman Filter ($\small{CA_{KF}}$) and the Compensation Algorithm based on Least-Squares Method ($\small{CA_{LSM}}$) by the developed realtime performance simulator. As a result, the $\small{AEIR_{TJ}}$ in up-down movements of hands of the $\small{CAPUH_{MMS}}$ is measured as 19.35%, it is higher value compared with that of the $\small{CA_{KF}}$ and the $\small{CA_{LSM}}$ as 13.88% and 16.68%, respectively.
Keywords
Kinect;Hands Gesture;Gesture Recognition;Compensation;Human Robot Interface;
Language
Korean
Cited by
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