SVM-based system for point-to-point hand movement

Jun Won Lee, Sung Yul Shin, Sang-Hyup Lee, Young Mok Yun, Seung-Jong Kim, Chang Hwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A system for humanoid robot arm movement concerns about generating a human-like point-to-point (p2p) trajectory. For more than a decade, numerous systems have been devised and many of them were based on complex dynamical systems. In this paper, we introduce a simpler system, integrating support vector machine (SVM) learning model, which can achieve same p2p objective. In our experiment, we compare our system with another version where SVM model component is absent and show that in many cases, our proposed system outperforms and effective for all experiments.

Original languageEnglish
Title of host publication2012 IEEE/SICE International Symposium on System Integration, SII 2012
Pages254-259
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE/SICE International Symposium on System Integration, SII 2012 - Fukuoka, Japan
Duration: 2012 Dec 162012 Dec 18

Other

Other2012 IEEE/SICE International Symposium on System Integration, SII 2012
CountryJapan
CityFukuoka
Period12/12/1612/12/18

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ASJC Scopus subject areas

  • Information Systems

Cite this

Lee, J. W., Shin, S. Y., Lee, S-H., Yun, Y. M., Kim, S-J., & Kim, C. H. (2012). SVM-based system for point-to-point hand movement. In 2012 IEEE/SICE International Symposium on System Integration, SII 2012 (pp. 254-259). [6427294] https://doi.org/10.1109/SII.2012.6427294