Carrying out rehabilitation exercises, while maintaining the attention focus in a sustained and selective way, promotes neuronal  plasticity  and  motor learning.  The attention to the motor task has an enhanced effect on rehabilitation performance output. A distraction detection system allows the therapist or an automated system to know when to stimulate the patient’s attention for enhancing the therapy effectiveness.

Discrimination of emotional valence is a broad issue widely addressed in recent decades, affecting the most varied sectors  and  finding  application  in  multiple domains. Some application fields are for example, car driving, working, medicine, and entertainment.

Engagement assessment is fundamental in clinical practice to personalize a treatment and improve its effectiveness. Int he last years, scientific literature addressed particular attention to engagement.

Several bio-signals have been studied over the years for emotions, attention and engagement recognition.  In recent years, several studies has focused on the brain signal, in particular on electroencephalographic (EEG) signals.

Based on these considerations, the goal of this research is prototyping and/or experimental validating EEG-based system (hardware and software) for measuring emotion, attention and engagement.