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Machine Learning-Robotics

Domaine
Machine Learning-Robotics
Domain - extra
Brain Computer Interface
Année
2011
Starting
Sept. 2011
État
Open
Sujet
Unsupervised Brain Computer Interface
Thesis advisor
SEBAG Michèle
Co-advisors
Cédric Gouy-Pailler, CEA
Laboratory
Collaborations
Abstract
Brain Computer Interface aims at extracting a command law from the brain waves.
While the state of the art relies on supervised learning (the experimental setting requires the user to
think of a specific topic), severe limitations are encountered in practice, due in particular to BCI illiteracy: circa 20% of the people do not manage to emit usable signal.
This PhD will investigate an unsupervised approach inspired from data streaming, characterizing the dynamics and the variability of the brain waves.


Context
Objectives
Work program
Extra information
Prerequisite
Excellent background in statistics and signal processing, and programming skills.
Détails
Expected funding
Research contract
Status of funding
Confirmed
Candidates
Utilisateur
michele-martine.sebag
Créé
Lundi 20 juin 2011 11:36:20 CEST
dernière modif.
Lundi 20 juin 2011 11:36:20 CEST

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Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info à lri.fr