research-article

Adding Human Learning in Brain--Computer Interfaces (BCIs): Towards a Practical Control Modality

Authors:

Nataliya Kosmyna,

Franck Tarpin-Bernard,

Bertrand RivetAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 22, Issue 3

Article No.: 12, Pages 1 - 37

https://doi.org/10.1145/2723162

Published: 27 May 2015 Publication History

Abstract

In this article, we introduce CLBCI (Co-Learning for Brain--Computer Interfaces), a BCI architecture based on co-learning in which users can give explicit feedback to the system rather than just receiving feedback. CLBCI is based on minimum distance classification with Independent Component Analysis (ICA) and allows for shorter training times compared to classical BCIs, as well as faster learning in users and a good performance progression. We further propose a new scheme for real-time two-dimensional visualization of classification outcomes using Wachspress coordinate interpolation. It allows us to represent classification outcomes for n classes in simple regular polygons. Our objective is to devise a BCI system that constitutes a practical interaction modality that can be deployed rapidly and used on a regular basis. We apply our system to an event-based control task in the form of a simple shooter game in which we evaluate the learning effect induced by our architecture compared to a classical approach. We also evaluate how much user feedback and our visualization method contribute to the performance of the system.

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Index Terms

Adding Human Learning in Brain--Computer Interfaces (BCIs): Towards a Practical Control Modality
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 22, Issue 3

June 2015

151 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/2785963

Editor:
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Publication History

Published: 27 May 2015

Accepted: 01 January 2015

Revised: 01 January 2015

Received: 01 July 2014

Published in TOCHI Volume 22, Issue 3

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https://dl.acm.org/doi/10.1145/3640543.3645211
Atilla FPostma MAlimardani M(2024)Gamification of motor imagery brain-computer interface training protocols: A systematic reviewComputers in Human Behavior Reports10.1016/j.chbr.2024.10050816(100508)Online publication date: Dec-2024
https://doi.org/10.1016/j.chbr.2024.100508
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