A Tactile P300 Brain-Computer Interface: Principle and Paradigm

EasyChair Preprint 117

Abstract

The P300 based non-invasive brain-computer interfaces (BCIs) are the focus of several research communities in order to move a BCI from a laboratory demonstration to real-life applications. The development and implementation of a BCI system might be the only option left for severely disabled patients to be able to communicate with environment. Therefore, most of the BCI researches have been based on the visual stimulation using the electroencephalogram (EEG) for measuring the brain waves such as event-related potential (ERP). However, recent studies revealed that the tactile modality offers a gaze-independent alternative to the user for reducing eye strain and fatigue. In this context, we investigated a tactile brain-computer interface (tBCI) based on ERP responses to vibro-tactile stimuli around the face and fingers. With regard to novelty oddball paradigm and target-processing, the users have exhibited a different event-related potential in case of a target stimulus. The results of our experiments showed very clear shape of P300 component caused by tactile stimuli which is going to be used in real-time control applications. The efficiency of our ERP-based BCI is strongly related to mean amplitude of the P300 components over 14 EEG channels which was used as a feature in the phase of SVM classification.

Keyphrases: Brain Computer Interface, EEG, P300, Tactile brain-computer interface

@booklet{EasyChair:117,
  author    = {Aness Belhaouari and Abdelkader Nasreddine Belkacem and Nasreddine Berrached},
  title     = {A Tactile P300 Brain-Computer Interface: Principle and Paradigm},
  doi       = {10.29007/bf5w},
  howpublished = {EasyChair Preprint 117},
  year      = {EasyChair, 2018}}