- Future Health,
- Research,
Conference with Camille Jeunet: Brain-Computer Interfaces - Learning how to use them, using them to learn
A presentation by Camille Jeunet, CNRS research fellow at the CLLE laboratory, University of Toulouse Jean Jaurès.
Centrale Nantes
On November 15, 2019 from 09:00 To 10:00
Brain-Computer Interfaces (BCIs) are technologies that allow the user to control an application solely through his/her brain activity, measured mostly by electroencephalography. Although promising, BCIs remain poorly developed outside research laboratories. A major reason is their unreliability: studies show that 15 to 30% of users are unable to use a BCI.
Camille Jeunet's work has focused on human learning. Indeed, using an BCI requires the acquisition of specific skills and therefore appropriate training. It is therefore a question of improving BCI training so that users can more easily "learn how to use it"
Camille Jeunet's work has focused on human learning. Indeed, using an BCI requires the acquisition of specific skills and therefore appropriate training. It is therefore a question of improving BCI training so that users can more easily "learn how to use it"
