Literature DB >> 26744901

Evaluating gaze-driven power wheelchair with navigation support for persons with disabilities.

Erik Wästlund, Kay Sponseller, Ola Pettersson, Anders Bared.   

Abstract

This article describes a novel add-on for powered wheelchairs that is composed of a gaze-driven control system and a navigation support system. The add-on was tested by three users. All of the users were individuals with severe disabilities and no possibility of moving independently. The system is an add-on to a standard power wheelchair and can be customized for different levels of support according to the cognitive level, motor control, perceptual skills, and specific needs of the user. The primary aim of this study was to test the functionality and safety of the system in the user's home environment. The secondary aim was to evaluate whether access to a gaze-driven powered wheelchair with navigation support is perceived as meaningful in terms of independence and participation. The results show that the system has the potential to provide safe, independent indoor mobility and that the users perceive doing so as fun, meaningful, and a way to reduce dependency on others. Independent mobility has numerous benefits in addition to psychological and emotional well-being. By observing users' actions, caregivers and healthcare professionals can assess the individual's capabilities, which was not previously possible. Rehabilitation can be better adapted to the individual's specific needs, and driving a wheelchair independently can be a valuable, motivating training tool.

Entities:  

Keywords:  assistive devices; assistive robotics; assistive technology; cognitive impairment; disabled persons; eye movement; eye-tracking; gaze control; intelligent wheelchair; navigation support; neurological disorders; path-following; physical impairment; powered wheelchair; rehabilitation; smart wheelchair; user experience; user involvement

Mesh:

Year:  2015        PMID: 26744901     DOI: 10.1682/JRRD.2014.10.0228

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  4 in total

1.  Simultaneous Localization and Mapping Algorithm Based on the Asynchronous Fusion of Laser and Vision Sensors.

Authors:  Kexin Xing; Xingsheng Zhang; Yegui Lin; Wenqi Ci; Wei Dong
Journal:  Front Neurorobot       Date:  2022-05-24       Impact factor: 3.493

Review 2.  EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 st Century.

Authors:  Ioulietta Lazarou; Spiros Nikolopoulos; Panagiotis C Petrantonakis; Ioannis Kompatsiaris; Magda Tsolaki
Journal:  Front Hum Neurosci       Date:  2018-01-31       Impact factor: 3.169

3.  Eye-controlled, power wheelchair performs well for ALS patients.

Authors:  Michael A Elliott; Henrique Malvar; Lindsey L Maassel; Jon Campbell; Harish Kulkarni; Irina Spiridonova; Noelle Sophy; Jay Beavers; Ann Paradiso; Chuck Needham; Jamie Rifley; Maggie Duffield; Jeremy Crawford; Becky Wood; Emily J Cox; James M Scanlan
Journal:  Muscle Nerve       Date:  2019-08-21       Impact factor: 3.217

4.  An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation.

Authors:  H M Ravindu T Bandara; K S Priyanayana; A G Buddhika P Jayasekara; D P Chandima; R A R C Gopura
Journal:  Appl Bionics Biomech       Date:  2020-01-30       Impact factor: 1.781

  4 in total

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