Optimizing P300-speller sequences by ...
Type de document :
Communication dans un congrès avec actes
Titre :
Optimizing P300-speller sequences by RIP-ping groups apart
Auteur(s) :
Thomas, Eoin M. [Auteur]
Computational Imaging of the Central Nervous System [ATHENA]
Clerc, Maureen [Auteur]
Computational Imaging of the Central Nervous System [ATHENA]
Carpentier, Alexandra [Auteur]
Sequential Learning [SEQUEL]
Daucé, Emmanuel [Auteur]
Institut des Sciences du Mouvement Etienne Jules Marey [ISM]
Devlaminck, Dieter [Auteur]
Computational Imaging of the Central Nervous System [ATHENA]
Munos, Rémi [Auteur]
Sequential Learning [SEQUEL]
Computational Imaging of the Central Nervous System [ATHENA]
Clerc, Maureen [Auteur]
Computational Imaging of the Central Nervous System [ATHENA]
Carpentier, Alexandra [Auteur]
Sequential Learning [SEQUEL]
Daucé, Emmanuel [Auteur]
Institut des Sciences du Mouvement Etienne Jules Marey [ISM]
Devlaminck, Dieter [Auteur]
Computational Imaging of the Central Nervous System [ATHENA]
Munos, Rémi [Auteur]
Sequential Learning [SEQUEL]
Titre de la manifestation scientifique :
IEEE/EMBS 6th international conference on neural engineering (2013)
Organisateur(s) de la manifestation scientifique :
IEEE/EMBS
Ville :
San Diego
Pays :
Etats-Unis d'Amérique
Date de début de la manifestation scientifique :
2013-11
Date de publication :
2013-11
Mot(s)-clé(s) en anglais :
Brain Computer Interfaces
Discipline(s) HAL :
Informatique [cs]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences cognitives/Neurosciences
Informatique [cs]/Apprentissage [cs.LG]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences cognitives/Neurosciences
Informatique [cs]/Apprentissage [cs.LG]
Résumé en anglais : [en]
So far P300-speller design has put very little emphasis on the design of optimized flash patterns, a surprising fact given the importance of the sequence of flashes on the selection outcome. Previous work in this domain ...
Lire la suite >So far P300-speller design has put very little emphasis on the design of optimized flash patterns, a surprising fact given the importance of the sequence of flashes on the selection outcome. Previous work in this domain has consisted in studying consecutive flashes, to prevent the same letter or its neighbors from flashing consecutively. To this effect, the flashing letters form more random groups than the original row-column sequences for the P300 paradigm, but the groups remain fixed across repetitions. This has several important consequences, among which a lack of discrepancy between the scores of the different letters. The new approach proposed in this paper accumulates evidence for individual elements, and optimizes the sequences by relaxing the constraint that letters should belong to fixed groups across repetitions. The method is inspired by the theory of Restricted Isometry Property matrices in Compressed Sensing, and it can be applied to any display grid size, and for any target flash frequency. This leads to P300 sequences which are shown here to perform significantly better than the state of the art, in simulations and online tests.Lire moins >
Lire la suite >So far P300-speller design has put very little emphasis on the design of optimized flash patterns, a surprising fact given the importance of the sequence of flashes on the selection outcome. Previous work in this domain has consisted in studying consecutive flashes, to prevent the same letter or its neighbors from flashing consecutively. To this effect, the flashing letters form more random groups than the original row-column sequences for the P300 paradigm, but the groups remain fixed across repetitions. This has several important consequences, among which a lack of discrepancy between the scores of the different letters. The new approach proposed in this paper accumulates evidence for individual elements, and optimizes the sequences by relaxing the constraint that letters should belong to fixed groups across repetitions. The method is inspired by the theory of Restricted Isometry Property matrices in Compressed Sensing, and it can be applied to any display grid size, and for any target flash frequency. This leads to P300 sequences which are shown here to perform significantly better than the state of the art, in simulations and online tests.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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- https://hal.inria.fr/hal-00907781/file/NeuralEng13_poster.pdf
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- 0125_MS_revised.pdf
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- NeuralEng13_poster.pdf
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