Literature DB >> 20071276

Towards an intelligent wheelchair system for users with cerebral palsy.

Luis Montesano1, Marta Díaz, Sonu Bhaskar, Javier Minguez.   

Abstract

This paper describes and evaluates an intelligent wheelchair, adapted for users with cognitive disabilities and mobility impairment. The study focuses on patients with cerebral palsy, one of the most common disorders affecting muscle control and coordination, thereby impairing movement. The wheelchair concept is an assistive device that allows the user to select arbitrary local destinations through a tactile screen interface. The device incorporates an automatic navigation system that drives the vehicle, avoiding obstacles even in unknown and dynamic scenarios. It provides the user with a high degree of autonomy, independent from a particular environment, i.e., not restricted to predefined conditions. To evaluate the rehabilitation device, a study was carried out with four subjects with cognitive impairments, between 11 and 16 years of age. They were first trained so as to get acquainted with the tactile interface and then were recruited to drive the wheelchair. Based on the experience with the subjects, an extensive evaluation of the intelligent wheelchair was provided from two perspectives: 1) based on the technical performance of the entire system and its components and 2) based on the behavior of the user (execution analysis, activity analysis, and competence analysis). The results indicated that the intelligent wheelchair effectively provided mobility and autonomy to the target population.

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Year:  2010        PMID: 20071276     DOI: 10.1109/TNSRE.2009.2039592

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  10 in total

1.  Powered mobility interventions for very young children with mobility limitations to aid participation and positive development: the EMPoWER evidence synthesis.

Authors:  Nathan Bray; Niina Kolehmainen; Jennifer McAnuff; Louise Tanner; Lorna Tuersley; Fiona Beyer; Aimee Grayston; Dor Wilson; Rhiannon Tudor Edwards; Jane Noyes; Dawn Craig
Journal:  Health Technol Assess       Date:  2020-10       Impact factor: 4.014

2.  Stakeholder views addressing the development and uptake of powered wheelchair assistive technology.

Authors:  Michael Gillham; Matthew Pepper; Steve Kelly; Gareth Howells
Journal:  Disabil Rehabil Assist Technol       Date:  2017-12-14

3.  Exploring powered wheelchair users and their caregivers' perspectives on potential intelligent power wheelchair use: a qualitative study.

Authors:  Dahlia Kairy; Paula W Rushton; Philippe Archambault; Evelina Pituch; Caryne Torkia; Anas El Fathi; Paula Stone; François Routhier; Robert Forget; Louise Demers; Joelle Pineau; Richard Gourdeau
Journal:  Int J Environ Res Public Health       Date:  2014-02-21       Impact factor: 3.390

4.  A game-based neurofeedback training system to enhance cognitive performance in healthy elderly subjects and in patients with amnestic mild cognitive impairment.

Authors:  Suwicha Jirayucharoensak; Pasin Israsena; Setha Pan-Ngum; Solaphat Hemrungrojn; Michael Maes
Journal:  Clin Interv Aging       Date:  2019-02-19       Impact factor: 4.458

5.  Usability Evaluation of the SmartWheeler through Qualitative and Quantitative Studies.

Authors:  Adina M Panchea; Nathalie Todam Nguepnang; Dahlia Kairy; François Ferland
Journal:  Sensors (Basel)       Date:  2022-07-27       Impact factor: 3.847

6.  Design and Implementation of a Position, Speed and Orientation Fuzzy Controller Using a Motion Capture System to Operate a Wheelchair Prototype.

Authors:  Mauro Callejas-Cuervo; Aura Ximena González-Cely; Teodiano Bastos-Filho
Journal:  Sensors (Basel)       Date:  2021-06-25       Impact factor: 3.576

7.  Design and validation of an intelligent wheelchair towards a clinically-functional outcome.

Authors:  Patrice Boucher; Amin Atrash; Sousso Kelouwani; Wormser Honoré; Hai Nguyen; Julien Villemure; François Routhier; Paul Cohen; Louise Demers; Robert Forget; Joelle Pineau
Journal:  J Neuroeng Rehabil       Date:  2013-06-17       Impact factor: 4.262

8.  Evaluation of an intelligent wheelchair system for older adults with cognitive impairments.

Authors:  Tuck-Voon How; Rosalie H Wang; Alex Mihailidis
Journal:  J Neuroeng Rehabil       Date:  2013-08-07       Impact factor: 4.262

9.  Driving interface based on tactile sensors for electric wheelchairs or trolleys.

Authors:  Andrés Trujillo-León; Fernando Vidal-Verdú
Journal:  Sensors (Basel)       Date:  2014-02-10       Impact factor: 3.576

10.  A Driving Behaviour Model of Electrical Wheelchair Users.

Authors:  S O Onyango; Y Hamam; K Djouani; B Daachi; N Steyn
Journal:  Comput Intell Neurosci       Date:  2016-04-11
  10 in total

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