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


Vol. 40,  No. 5, pp. 863-870, May  2015


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  Abstract

A Compensation Algorithm for The Position of the User Hands based on the Moving Mean-Shift (CAPUHMMS) 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 (AEIRTJ) in left-right movements of hands for the CAPUHMMS is compared with other compensation algorithms such as the Compensation Algorithm based on the Compensation Algorithm based on the Kalman Filter (CAKF) and the Compensation Algorithm based on Least-Squares Method (CALSM) by the developed realtime performance simulator. As a result, the AEIRTJ in up-down movements of hands of the CAPUHMMS is measured as 19.35%, it is higher value compared with that of the CAKF and the CALSM as 13.88% and 16.68%, respectively.

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  Cite this article

[IEEE Style]

T. Kim, S. Kwon, D. M. Lee, "A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 5, pp. 863-870, 2015. DOI: .

[ACM Style]

Tae-Wan Kim, Soon-Ryang Kwon, and Dong Myung Lee. 2015. A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System. The Journal of Korean Institute of Communications and Information Sciences, 40, 5, (2015), 863-870. DOI: .

[KICS Style]

Tae-Wan Kim, Soon-Ryang Kwon, Dong Myung Lee, "A Compensation Algorithm for the Position of User Hands Based on Moving Mean-Shift for Gesture Recognition in HRI System," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 5, pp. 863-870, 5. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880