Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor? - Archive ouverte HAL Access content directly
Journal Articles Frontiers in Human Neuroscience Year : 2019

Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?

(1) , (2) , (1) , (2) , (3)
1
2
3

Abstract

Predicting a subject's ability to use a Brain Computer Interface (BCI) is one of the major issues in the BCI domain. Relevant applications of forecasting BCI performance include the ability to adapt the BCI to the needs and expectations of the user, assessing the efficiency of BCI use in stroke rehabilitation, and finally, homogenizing a research population. A limited number of recent studies have proposed the use of subjective questionnaires, such as the Motor Imagery Questionnaire Revised-Second Edition (MIQ-RS). However, further research is necessary to confirm the effectiveness of this type of subjective questionnaire as a BCI performance estimation tool. In this study we aim to answer the following questions: can the MIQ-RS be used to estimate the performance of an MI-based BCI? If not, can we identify different markers that could be used as performance estimators? To answer these questions, we recorded EEG signals from 35 healthy volunteers during BCI use. The subjects had previously completed the MIQ-RS questionnaire. We conducted an offline analysis to assess the correlation between the questionnaire scores related to Kinesthetic and Motor imagery tasks and the performances of four classification methods. Our results showed no significant correlation between BCI performance and the MIQ-RS scores. However, we reveal that BCI performance is correlated to habits and frequency of practicing manual activities.
Fichier principal
Vignette du fichier
fnhum-12-00529.pdf (2 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01990935 , version 1 (23-01-2019)

Identifiers

Cite

Sébastien Rimbert, Nathalie T H Gayraud, Laurent Bougrain, Maureen Clerc, Stéphanie Fleck. Can a Subjective Questionnaire Be Used as Brain-Computer Interface Performance Predictor?. Frontiers in Human Neuroscience, 2019, 12, pp.11. ⟨10.3389/fnhum.2018.00529⟩. ⟨hal-01990935⟩
151 View
194 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More