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Automatic Control of a Wheelchair Using a Brain Computer Interface and Real-Time Decision-Making

Heskebeck, Frida LU orcid and Tufvesson, Pex LU orcid (2024) 2024 European Control Conference, ECC 2024 p.3892-3897
Abstract

In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate strategies to enhance the efficiency of decision-making processes, aiming to accelerate response times while maintaining a defined error rate. Furthermore, we explore methodologies to decrease the user's cognitive load by reducing the number of stimuli needed before an action.

Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Applications in neuroscience, Emerging control applications, Statistical learning
host publication
2024 European Control Conference, ECC 2024
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2024 European Control Conference, ECC 2024
conference location
Stockholm, Sweden
conference dates
2024-06-25 - 2024-06-28
external identifiers
  • scopus:85200593518
ISBN
9783907144107
DOI
10.23919/ECC64448.2024.10591133
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 EUCA.
id
97e88462-e970-4b78-ae7c-6aa343d8d410
date added to LUP
2024-11-04 14:16:05
date last changed
2025-04-04 14:54:35
@inproceedings{97e88462-e970-4b78-ae7c-6aa343d8d410,
  abstract     = {{<p>In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate strategies to enhance the efficiency of decision-making processes, aiming to accelerate response times while maintaining a defined error rate. Furthermore, we explore methodologies to decrease the user's cognitive load by reducing the number of stimuli needed before an action.</p>}},
  author       = {{Heskebeck, Frida and Tufvesson, Pex}},
  booktitle    = {{2024 European Control Conference, ECC 2024}},
  isbn         = {{9783907144107}},
  keywords     = {{Applications in neuroscience; Emerging control applications; Statistical learning}},
  language     = {{eng}},
  pages        = {{3892--3897}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Automatic Control of a Wheelchair Using a Brain Computer Interface and Real-Time Decision-Making}},
  url          = {{http://dx.doi.org/10.23919/ECC64448.2024.10591133}},
  doi          = {{10.23919/ECC64448.2024.10591133}},
  year         = {{2024}},
}