Towards Brain Computer Interfaces for Recreational Activities: Piloting a Drone

  • Nataliya KosmynaEmail author
  • Franck Tarpin-Bernard
  • Bertrand Rivet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9296)


Active Brain Computer Interfaces (BCIs) allow people to exert voluntary control over a computer system: brain signals are captured and imagined actions (movements, concepts) are recognized after a training phase (from 10 min to 2 months). BCIs are confined in labs, with only a few dozen people using them outside regularly (e.g. assistance for impairments). We propose a “Co-learning BCI” (CLBCI) that reduces the amount of training and makes BCIs more suitable for recreational applications. We replicate an existing experiment where the BCI controls a drone and compare CLBCI to their Operant Conditioning (OC) protocol over three durations of practice (1 day, 1 week, 1 month). We find that OC works at 80 % after a month practice, but the performance is between 60 and 70 % any earlier. In a week of practice, CLBCI reaches a performance of around 75 %. We conclude that CLBCI is better suited for recreational use. OC should be reserved for users for whom performance is the main concern.


Brain computer interface Engagement Replication Drone 


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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Nataliya Kosmyna
    • 1
    Email author
  • Franck Tarpin-Bernard
    • 1
    • 2
  • Bertrand Rivet
    • 3
  1. 1.LIG-IIHMGrenoble Cedex 9France
  2. 2.Scientific Brain TrainingVilleurbanne CedexFrance
  3. 3.Gipsa-Lab/Grenoble INPSaint Martin d’HèresFrance

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