Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/93270
Title: A Self-Paced BCI With a Collaborative Controller for Highly Reliable Wheelchair Driving: Experimental Tests With Physically Disabled Individuals
Authors: Cruz, Aniana
Pires, Gabriel 
Lopes, Ana
Carona, Carlos 
Nunes, Urbano J. 
Keywords: Brain–computer interface (BCI); Collaborative control; Dynamic time window; Physically disabled; Quantitative and subjective assessment; Robotic wheelchair (RW); Self-paced
Issue Date: 2021
Publisher: IEEE
Project: info:eu-repo/grantAgreement/FCT/5876/147323/PT 
PTDC/EEI/-AUT/30935/2017 
SFRH/BD/111473/2015 
Serial title, monograph or event: IEEE Transactions on Human-Machine Systems
Abstract: Brain-controlled wheelchairs (BCWs) are a promising solution for people with severe motor disabilities, who cannot use conventional interfaces. However, the low reliability of electroencephalographic signal decoding and the high user’s workload imposed by continuous control of a wheelchair requires effective approaches. In this article, we propose a self-paced P300-based brain–computer interface (BCI) combined with dynamic time-window commands and a collaborative controller. The self-paced approach allows users to switch between control and noncontrol states without requiring any additional task or mental strategy, while the dynamic time-window commands allow balancing the reliability and speed of the BCI. The collaborative controller, combining user’s intentions and navigation information, offers the possibility to navigate in complex environments and to improve the overall system reliability. The feasibility of the proposed approach and the impact of each system component (self-paced, dynamic time window, and collaborative controller) are systematically validated in a set of experiments conducted with seven able-bodied participants and six physically disabled participants steering a robotic wheelchair in real-office-like environments. These two groups controlled the BCW with a final driving accuracy greater than 99%. Quantitative and subjective results, assessed through questionnaires, attest to the effectiveness of the proposed approach. Altogether, these findings contribute to improving the usability of BCWs and, hence, the potential for their use by target users in home settings.
URI: http://hdl.handle.net/10316/93270
ISSN: 2168-2291
2168-2305
DOI: 10.1109/THMS.2020.3047597
Rights: openAccess
Appears in Collections:I&D ISR - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
Paper_BCI_THMS_preprint.pdf1.44 MBAdobe PDFView/Open
Show full item record

Page view(s)

20
checked on Apr 9, 2021

Download(s)

24
checked on Apr 9, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons