Spelling with brain-computer interface - current trends and prospects

Hubert Cecotti (1, 2)

1 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing
2 IAT - Institute of Automation - University of Bremen

Brain-Computer Interfaces (BCIs) have become a large research field that include challenges mainly in neuroscience, signal processing, machine learning and user interface. A BCI can allow the direct communication between humans and computers by analyzing brain activity. The main purpose for BCIs is to enable communication for people with severe disabilities. Indeed, spelling was one of the first BCI application. While spelling can be the most basic application, it remains a benchmark for communication application and one major challenge in the BCI community. This paper focuses on the current main strategies for spelling words. It includes recent BCIs based on P300, Steady-State Visual Evoked Potentials (SSVEP) and motor imagery. This work highlights some current challenges in BCI spellers.

Mots clés: Neural interfaces and softwares; BMI and signal processing; Action selection

Domaines: Neurosciences [q-bio.NC]; Neurosciences

Hubert Cecotti. Spelling with brain-computer interface - current trends and prospects. Neurocomp 2010 - Cinquième conférence plénière française de Neurosciences Computationnelles, Aug 2010, Lyon, France. pp.215-220. ⟨hal-00553422⟩