Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105050
PIRA download icon_1.1View/Download Full Text
Title: An ergonomic solution for hand rehabilitation product design for stroke patients
Authors: Luo, J 
Luximon, Y 
Zhan, W 
Chen, X 
Issue Date: 2020
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2020, v. 12198, p. 325-334
Abstract: Rehabilitation training is a crucial part that helps stroke patients to train their muscles and rebuild the connection between muscle, nervous system and brain. This study conducts an ergonomic redesign of hand rehabilitation products based on the interview investigation to the user behavior and psychology during the training rehabilitation. The driving part of the device was relocated from the palm to the back of the hand to enhance the experience of stroke subjects to grab objects. Moreover, the device can drive the user to have a positive attitude towards their rehabilitation by visualizing the training improvement. Body scan and 3D printing technologies were utilized to ensure the accuracy of the position of the electric stimulation pads on the hands. The design also enhanced the voluntary motor functions at the palm and the fingers. The research results will contribute in formulating the design criteria of hand rehabilitation training products for stroke subjects.
Keywords: 3D scanning
Ergonomics
Hand rehabilitation
Product design
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 978-3-030-49903-7 (Softcover)
978-3-030-49904-4 (eBook)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-030-49904-4_24
Description: 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020
Rights: © Springer Nature Switzerland AG 2020
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-49904-4_24.
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Luo_Ergonomic_Solution_Hand.pdfPre-Published version464.68 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

70
Last Week
1
Last month
Citations as of Nov 30, 2025

Downloads

46
Citations as of Nov 30, 2025

SCOPUSTM   
Citations

1
Citations as of Dec 19, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.