Timed automata-based rehabilitation training game design for the affected lower extremity of hemiparetic patient

Gi Sook Jung, Sang Yun Kim, Soon Ki Jung, Seung Deuk Byun, Yang Soo Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper presents a timed automata based rehabilitation training game design to effectively strengthen the affected leg of the hemiparetic patient. The proposed system is implemented by applying a simple motion capture technique to a rhythm game. Especially, for the rapid prototyping of the game and a patient-customized game storyline reflecting isometric training as well as dynamic training, the timed automata concept and tool are adopted. The system, which consists of a training generator, rehabilitation training game, and sensor, shows the close correlation with existing physical training.

Original languageEnglish
Title of host publicationTransactions on Edutainment I
EditorsZhigeng Pan, Adrian David Cheok, Wolfgang Muller, Abdennour El Rhabili
Pages17-27
Number of pages11
DOIs
StatePublished - 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5080 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Hemiparetic patient
  • Isometric training
  • Motion capture
  • Rehabilitation training game
  • Timed automata

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