Discrete motor imageries can be used to allow a faster detection - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2017

Discrete motor imageries can be used to allow a faster detection


Motor imagery (MI) modifies the neural activity within the primary sensorimotor areas of the cortex and can be measured through the analysis of elec-troencephalographic (EEG) recordings. It is particularly interesting for Brain-Computer Interface (BCI) applications. In most MI-based BCI experimental paradigms, subjects realize continuous motor imagery (CMI), i.e. a repetitive and prolonged intention of movement, for a few seconds. The system detects the movement based on the event-related desynchronization and the event-related synchronization features in electroencephalographic signal. Currently, improving efficiency such as detecting faster a motor imagery is an important issue in BCI to avoid fatigue and boredom. The purpose of this study is to show the difference, in term of classification, between a discrete motor imagery, i.e. a single short MI, and a CMI. The results of experiments involving 16 healthy subjects show that a BCI based on DMI is as effective as a BCI based on CMI and could be used to allow a faster detection.
Fichier principal
Vignette du fichier
BCIconfGraz2017_DiscreteMotorImageryClassification.pdf (1.59 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01512407 , version 1 (22-04-2017)


  • HAL Id : hal-01512407 , version 1


Sébastien Rimbert, Oleksii Avilov, Laurent Bougrain. Discrete motor imageries can be used to allow a faster detection. 7th Graz Brain-Computer Interface Conference 2017, Sep 2017, Graz, Austria. ⟨hal-01512407⟩
320 View
156 Download


Gmail Facebook X LinkedIn More