HMM-based error detection of dance step selection for dance partner robot -MS danceR-

Takahiro Takeda, Yasuhisa Hirata, Zhidong Wang, Kazuhiro Kosuge

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

9 Citations (Scopus)

Abstract

We have proposed a dance partner robot, which has been developed as a platform for realizing the effective humanrobot coordination with physical interactions. In the previous research, we have improved an estimation system for dance steps, which estimates the next dance step intended by a human. Although estimating the intended step is important for realizing the human-robot coordination, the cases that the estimation is failed and that the robot selects an incorrect step are not considered. Such cases have to be discussed carefully for realizing the effective human-robot coordination. In this paper, a method for error detections of dance step selections are proposed, which is designed using Hidden Markov Models. Experimental results illustrate the validity of the proposed method.

Original languageEnglish
Title of host publication2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
Pages5631-5636
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
Event2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
Duration: 2006 Oct 92006 Oct 15

Publication series

NameIEEE International Conference on Intelligent Robots and Systems

Other

Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
CountryChina
CityBeijing
Period06/10/906/10/15

Keywords

  • Ballroom dances
  • Error detection of dance step selection
  • Human-robot cooperation
  • Mobile robot
  • Modeling human dancing motion

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Fingerprint Dive into the research topics of 'HMM-based error detection of dance step selection for dance partner robot -MS danceR-'. Together they form a unique fingerprint.

  • Cite this

    Takeda, T., Hirata, Y., Wang, Z., & Kosuge, K. (2006). HMM-based error detection of dance step selection for dance partner robot -MS danceR-. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 (pp. 5631-5636). [4059329] (IEEE International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS.2006.282285