Human motion tracking for cognitive rehabilitation in informationally structured space based on sensor networks

Yuichiro Toda, Yuki Kodai, Eriko Hiwada, Naoyuki Kubota

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

3 Citations (Scopus)

Abstract

This paper discusses measurement methods of human behaviors based on sensor network and human interaction of rehabilitation using robot partners. First, we explain robot partners and sensor networks for rehabilitation. Next, we apply a steady-state genetic algorithm to extract human motions from 3D distance image. Finally, we discuss the effectiveness of the proposed methods through several experimental results.

Original languageEnglish
Title of host publicationFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
Pages1459-1465
Number of pages7
DOIs
Publication statusPublished - Sep 27 2011
Externally publishedYes
Event2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan, Province of China
Duration: Jun 27 2011Jun 30 2011

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
CountryTaiwan, Province of China
CityTaipei
Period6/27/116/30/11

Keywords

  • Evolutionary Computation
  • Human Motion Tracking
  • Rehabilitation
  • Robot Partners
  • Sensor Networks

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Human motion tracking for cognitive rehabilitation in informationally structured space based on sensor networks'. Together they form a unique fingerprint.

  • Cite this

    Toda, Y., Kodai, Y., Hiwada, E., & Kubota, N. (2011). Human motion tracking for cognitive rehabilitation in informationally structured space based on sensor networks. In FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1459-1465). [6007712] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2011.6007712