Literature DB >> 23475377

Assisting versus repelling force-feedback for learning of a line following task in a wheelchair.

Xi Chen, Sunil K Agrawal.   

Abstract

Previous work has shown that training with the "assist-as-needed" method using a force-feedback joystick can improve the driving performance of children and adults. This paper is the first study to evaluate training with a repelling force versus an assisting force for learning of a line following task in a wheelchair through a force-feedback joystick. We designed a robotic training wheelchair, that can accurately localize itself in the training environment, and implemented assisting and repelling force fields on the force-feedback joystick. The training protocol included three groups. The control (CT) group received no force feedback. The assisting force (AF) group was trained using the "assist-as-needed" paradigm. The repelling force (RF) group was trained with the repelling force field. We observed that both the AF and RF groups improved their driving skills. The error reductions of both groups were not statistically different under the current setting. We believe that this pilot study could provide a promising foundation regarding the effects of a robotic wheelchair training algorithm on motor learning.

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Year:  2013        PMID: 23475377     DOI: 10.1109/TNSRE.2013.2245917

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


  4 in total

1.  Sonification and haptic feedback in addition to visual feedback enhances complex motor task learning.

Authors:  Roland Sigrist; Georg Rauter; Laura Marchal-Crespo; Robert Riener; Peter Wolf
Journal:  Exp Brain Res       Date:  2014-12-16       Impact factor: 1.972

2.  Motor learning with fading and growing haptic guidance.

Authors:  Herbert Heuer; Jenna Lüttgen
Journal:  Exp Brain Res       Date:  2014-04-16       Impact factor: 1.972

3.  It Pays to Go Off-Track: Practicing with Error-Augmenting Haptic Feedback Facilitates Learning of a Curve-Tracing Task.

Authors:  Camille K Williams; Luc Tremblay; Heather Carnahan
Journal:  Front Psychol       Date:  2016-12-26

Review 4.  Control Systems and Electronic Instrumentation Applied to Autonomy in Wheelchair Mobility: The State of the Art.

Authors:  Mauro Callejas-Cuervo; Aura Ximena González-Cely; Teodiano Bastos-Filho
Journal:  Sensors (Basel)       Date:  2020-11-06       Impact factor: 3.576

  4 in total

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