Design and manufacture a cheap equipment to measure human arm motion in developing countries

Thanh Trung Nguyen, Ngoc Tam Bui, Hasegawa Hiroshi

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

1 Citation (Scopus)

Abstract

Motion capture system is becoming one of the very important tools serving in the process of calculation, design process as well as evaluating the performance of the rehabilitation equipment. In addition, it is also common device used in the performance evaluation of rehabilitation process during exercise stages. In this article, a cheap motion capture system measured 7 Degree of Freedom (DOF) of upper limb will be presented. The system is designed similar to the skeleton structure with the adjustable size fit each arm anthropometry. The application of 3D printing technology serving the manufacturing process ensure that the system has created is characterized by lightweight, low cost. Some initial experiments assess the extent of the angle measured efficiency as well as some basic actions in daily activities.

Original languageEnglish
Title of host publicationICRCA 2021 - 2021 5th International Conference on Robotics, Control and Automation; Worshop - 2021 5th International Conference on Robotics and Machine, ICRMV 2021
PublisherAssociation for Computing Machinery
Pages48-53
Number of pages6
ISBN (Electronic)9781450387484
DOIs
Publication statusPublished - 2021 Mar 5
Event5th International Conference on Robotics, Control and Automation, ICRCA 2021 - Virtual, Online, Korea, Republic of
Duration: 2021 Feb 262021 Feb 28

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International Conference on Robotics, Control and Automation, ICRCA 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period21/2/2621/2/28

Keywords

  • activities of daily living
  • exoskeleton
  • human upper limb
  • motion capture system

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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