0000000001141899
AUTHOR
Marcello Emanuele Giardina
A Human-Humanoid Interaction Through the Use of BCI for Locked-In ALS Patients Using Neuro-Biological Feedback Fusion.
This paper illustrates a new architecture for a human–humanoid interaction based on EEG-brain computer interface (EEG-BCI) for patients affected by locked-in syndrome caused by Amyotrophic Lateral Sclerosis (ALS). The proposed architecture is able to recognise users’ mental state accordingly to the biofeedback factor $\text {B}_{\text f}$ , based on users’ attention, intention, and focus, that is used to elicit a robot to perform customised behaviours. Experiments have been conducted with a population of eight subjects: four ALS patients in a near locked-in status with normal ocular movement and four healthy control subjects enrolled for age, education, and computer expertise. The results s…
PHD Thesis: Investigating Perceptual Features For a Natural Human Humanoid Robot Interaction Inside a Spontaneous Setting
Since robots have become part of human life, several studies have been done with the aim of discovering salient social rules at the basis of the collaboration between human beings and humanoid robot (Human Humanoid Interaction - HHI). The purpose is to have a common environment where human and humanoid robot could engage a proficous "dialogue" in order to share the "sense of co-presence" for common empathic tasks and goals. The humanoid robot must be in a position to interact with the human, and learn day by day from external environment, exactly as it occurs in human beings in the real life. In this sense, significant progresses have been reached, having a strong impact in each aspect of e…