Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study

摘要

The Brain-Computer interface (BCI) advancements made possible the use of techniques to recognize emotional aspects from the electroencepha-lographic signal (EEG). In this work I focus on the implementation of a BCI-based application, able to mine relevant information about user's emotion from his/her EEG signal and to adapt to it. To this aim a highly low cost and wearable device is employed, so as, a natural interaction is allowed.