A support method for haptic skill acquisition using graph theory

Tatsuhito Watanabe, Seiichiro Katsura

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

1 Citation (Scopus)

Abstract

This paper proposes a method to assess human motion.This method supposes a skill acquisition support for trainee. By using the proposed method, trainee enables to evaluate how coincident own motions are with the motions of trainer. This evaluation is represented as trainee's point. Moreover, this method enables to define a number of motions as evaluation figure. These motions are conducted by a specific trainer.For this method, graph theory and correlation are employed. Concretely speaking, a value of each component in eigen matrix of the adjacency matrix is dealt as the score of appropriate motion. The adjacency matrix is derived from graph. Nodes of the graph are constructed by the motion trainer conducts and the score is defined as trainer's point. At that time, connection between two nodes of the graph is weighting by coefficient of correlation. Trainee's motion is assessed based on the trainer's point. The viability of the proposed method is confirmed by experiments.

Original languageEnglish
Title of host publicationAMC2010 - The 11th IEEE International Workshop on Advanced Motion Control, Proceedings
Pages589-594
Number of pages6
DOIs
Publication statusPublished - 2010 Jun 25
Event2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010 - Nagaoka, Niigata, Japan
Duration: 2010 Mar 212010 Mar 24

Publication series

NameInternational Workshop on Advanced Motion Control, AMC

Other

Other2010 11th IEEE International Workshop on Advanced Motion Control, AMC2010
CountryJapan
CityNagaoka, Niigata
Period10/3/2110/3/24

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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