Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Comparison of virtual and real electric powered wheelchair driving using a position sensing joystick and an isometric joystick

Cooper, RA and Spaeth, DM and Jones, DK and Boninger, ML and Fitzgerald, SG and Guo, S (2002) Comparison of virtual and real electric powered wheelchair driving using a position sensing joystick and an isometric joystick. Medical Engineering and Physics, 24 (10). 703 - 708. ISSN 1350-4533

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

There are limited interface options for electric powered wheelchairs, which results in the inability of some individuals to drive independently. In addition, the development of new interface technologies will necessitate the development of alternative training methods. This study compares a conventional position sensing joystick to a novel isometric joystick during a driving task in a virtual environment and a real environment. The results revealed that there were few differences in task completion time and root-mean-square error (RMSE) between the two types of joysticks. There were significant correlations between the RMSE in the virtual environment and the real environment for both types of joysticks. The data indicate that performance in the virtual environment was representative of driving ability in the real environment, and the isometric joystick performed comparably to the position sensing joystick. © 2002 IPEM. Published by Elsevier Science Ltd. All rights reserved.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Cooper, RARCOOPER@pitt.eduRCOOPER
Spaeth, DM
Jones, DK
Boninger, MLboninger@pitt.eduBONINGER
Fitzgerald, SG
Guo, S
Centers: Other Centers, Institutes, or Units > Human Engineering Research Laboratories
Date: 1 December 2002
Date Type: Publication
Journal or Publication Title: Medical Engineering and Physics
Volume: 24
Number: 10
Page Range: 703 - 708
DOI or Unique Handle: 10.1016/s1350-4533(02)00111-x
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISSN: 1350-4533
MeSH Headings: Algorithms; Central Nervous System Diseases--rehabilitation; Computer Simulation; Equipment Failure Analysis--methods; Feedback; Female; Human Engineering--methods; Humans; Isometric Contraction; Male; Middle Aged; Movement; Psychomotor Performance; Task Performance and Analysis; User-Computer Interface; Wheelchairs
PubMed ID: 12460730
Date Deposited: 03 Oct 2012 21:49
Last Modified: 02 Feb 2019 16:57
URI: http://d-scholarship.pitt.edu/id/eprint/14795

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item