Customized embedded system design for lower limb rehabilitation patients

Chae Eun Lee, Inn Chae Yeo, Inshil Doh

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

1 Scopus citations

Abstract

There are a number of researches about combining games with rehabilitation training to induce the interest of the patients. However, related studies mainly focus on upper body rehabilitation patients and have not dealt with accuracy of sensors. In this work, we aimed to improve the reliability of game results by implementing four step algorithms that minimizes the errors caused by sensors for lower body rehabilitation patients. Furthermore, we implemented a customized game system for the patient by collecting patient data and allowing the embedded smart car to move in proportion to the patient's movement.

Original languageEnglish
Title of host publicationIEEE 20th International Conference on Advanced Communication Technology
Subtitle of host publicationOpening New Era of Intelligent Things, ICACT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-233
Number of pages5
ISBN (Electronic)9791188428007
DOIs
StatePublished - 23 Mar 2018
Event20th IEEE International Conference on Advanced Communication Technology, ICACT 2018 - Chuncheon, Korea, Republic of
Duration: 11 Feb 201814 Feb 2018

Publication series

NameInternational Conference on Advanced Communication Technology, ICACT
Volume2018-February
ISSN (Print)1738-9445

Conference

Conference20th IEEE International Conference on Advanced Communication Technology, ICACT 2018
Country/TerritoryKorea, Republic of
CityChuncheon
Period11/02/1814/02/18

Bibliographical note

Funding Information:
This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the Seoul Accord Vitalization Program(IITP-2017-2012-0-00442) supervised by the IITP(Institute for Information & communications Technology Promotion).

Publisher Copyright:
© 2018 Global IT Research Institute (GiRI).

Keywords

  • correction algorithm
  • embedded system
  • lower limb rehabilitation
  • user-customized

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