Literature DB >> 22023379

Driving performance in a power wheelchair simulator.

Philippe S Archambault1, Stéphanie Tremblay, Sarah Cachecho, François Routhier, Patrick Boissy.   

Abstract

PURPOSE: A power wheelchair simulator can allow users to safely experience various driving tasks. For such training to be efficient, it is important that driving performance be equivalent to that in a real wheelchair. This study aimed at comparing driving performance in a real and in a simulated environment.
METHOD: Two groups of healthy young adults performed different driving tasks, either in a real power wheelchair or in a simulator. Smoothness of joystick control as well as the time necessary to complete each task were recorded and compared between the two groups. Driving strategies were analysed from video recordings. The sense of presence, of really being in the virtual environment, was assessed through a questionnaire.
RESULTS: Smoothness of joystick control was the same in the real and virtual groups. Task completion time was higher in the simulator for the more difficult tasks. Both groups showed similar strategies and difficulties. The simulator generated a good sense of presence, which is important for motivation.
CONCLUSIONS: Performance was very similar for power wheelchair driving in the simulator or in real life. Thus, the simulator could potentially be used to complement training of individuals who require a power wheelchair and use a regular joystick. [Box: see text].

Mesh:

Year:  2011        PMID: 22023379     DOI: 10.3109/17483107.2011.625072

Source DB:  PubMed          Journal:  Disabil Rehabil Assist Technol        ISSN: 1748-3107


  9 in total

1.  Power wheelchair driving challenges in the community: a users' perspective.

Authors:  Caryne Torkia; Denise Reid; Nicol Korner-Bitensky; Dahlia Kairy; Paula W Rushton; Louise Demers; Philippe S Archambault
Journal:  Disabil Rehabil Assist Technol       Date:  2014-03-18

2.  Assessment of wheelchair driving performance in a virtual reality-based simulator.

Authors:  Harshal P Mahajan; Brad E Dicianno; Rory A Cooper; Dan Ding
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

3.  Upper Body-Based Power Wheelchair Control Interface for Individuals With Tetraplegia.

Authors:  Elias B Thorp; Farnaz Abdollahi; David Chen; Ali Farshchiansadegh; Mei-Hua Lee; Jessica P Pedersen; Camilla Pierella; Elliot J Roth; Ismael Seanez Gonzalez; Ferdinando A Mussa-Ivaldi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-06-01       Impact factor: 3.802

4.  A body machine interface based on inertial sensors.

Authors:  Ali Farshchiansadegh; Farnaz Abdollahi; David Chen; Jessica Pedersen; Camilla Pierella; Elliot J Roth; Ismael Seanez Gonzalez; Elias B Thorp; Ferdinando A Mussa-Ivaldi
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  Powered wheelchair simulator development: implementing combined navigation-reaching tasks with a 3D hand motion controller.

Authors:  Gordon Tao; Philippe S Archambault
Journal:  J Neuroeng Rehabil       Date:  2016-01-19       Impact factor: 4.262

6.  Intelligent Control Wheelchair Using a New Visual Joystick.

Authors:  Yassine Rabhi; Makrem Mrabet; Farhat Fnaiech
Journal:  J Healthc Eng       Date:  2018-02-07       Impact factor: 2.682

7.  Simulation System of Electric-Powered Wheelchairs for Training Purposes.

Authors:  Kevin A Hernandez-Ossa; Eduardo H Montenegro-Couto; Berthil Longo; Alexandre Bissoli; Mariana M Sime; Hilton M Lessa; Ivan R Enriquez; Anselmo Frizera-Neto; Teodiano Bastos-Filho
Journal:  Sensors (Basel)       Date:  2020-06-24       Impact factor: 3.576

8.  Augmented feedback for powered wheelchair training in a virtual environment.

Authors:  Catherine Bigras; Dahlia Kairy; Philippe S Archambault
Journal:  J Neuroeng Rehabil       Date:  2019-01-18       Impact factor: 4.262

9.  Cursor control by Kalman filter with a non-invasive body-machine interface.

Authors:  Ismael Seáñez-González; Ferdinando A Mussa-Ivaldi
Journal:  J Neural Eng       Date:  2014-09-22       Impact factor: 5.379

  9 in total

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