A wearable robotics assistive device: Design, technical solutions, and implementation

Mohammad Wedyan, Adel Al-Jumaily, Fady Alnajjar, Peer Mohamad Muhamed, Shingo Shimoda

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

8 Citations (Scopus)

Abstract

Many physical rehabilitation treatments aim to improve the ability to use upper limbs for the stroke patients. The robots have the power to help in treatment or mitigation as noted by the outcomes of recent research studies. However, the availability of these devices in clinical and rehabilitation settings is still limited. The paper discusses the technical design aspects and implementation of the wearable robotics assistive device. Firstly, it discusses design requirements and challenges of some of the existing rehabilitation and assistive devices. The second part of the paper focuses on our proposed 3D printing robot hand assistive devices as a case study included decisions considerations, design decisions, and aspects of the designs. In addition, outline the future recommendations for such the devices development.

Original languageEnglish
Title of host publication2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538608722
DOIs
Publication statusPublished - Jun 28 2017
Event2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 - Ras Al Khaimah, United Arab Emirates
Duration: Nov 21 2017Nov 23 2017

Publication series

Name2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Volume2018-January

Other

Other2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017
Country/TerritoryUnited Arab Emirates
CityRas Al Khaimah
Period11/21/1711/23/17

Keywords

  • Rehabilitation
  • Robotic
  • Stroke
  • Wearable Hand Robotics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Science Applications

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