UniPA BCI Framework
Copyright (C) 2017 Salvatore La Bua slabua(at)gmail.com
RoboticsLab, Department of Industrial and Digital Innovation (DIID),
Universita' degli Studi di Palermo, V. delle Scienze, Palermo, Italy.
Table of Contents
- Introduction to the Project
- Some information about UniPA BCI Framework
- Design and Implementation of Modules for the Extraction of Biometric Parameters in an Augmented BCI Framework
Introduction to the Project
- The master's degree thesis is available at: http://www.slblabs.com/projects/unipa-bci-framework
Some information about UniPA BCI Framework
- I have been developing the UniPA BCI Framework as a final project for my master's degree programme at University of Palermo, Italy.
- The UniPA BCI Framework is a framework based on the P300 paradigm and allows a user to select individual actions to be performed by a robot or, in the more classic configuration, to spell a sequence of symbols.
- In particular, the framework takes advantage of additional developed modules, which perform the acquisition of eye gaze coordinates and biometric signals. It is therefore possible to consider the presented framework as a kind of augmented BCI system.
- The use of such modules allows to achieve a combined response which does not only take in account the response of a traditional BCI system based on the P300 paradigm, but it also considers useful information, such as the user visual focus and her level of engagement with the system, providing a more robust and effective global response.
Design and Implementation of Modules for the Extraction of Biometric Parameters in an Augmented BCI Framework
The interaction between human beings and robotic agents, and the interest towards such topics, have been exponentially growing in the recent years. The purpose of this thesis project is to identify a relation between the behaviours of a humanoid robot placed in a social context, and the emotional responses of a subject interacting with it. In particular, through the use of Brain-Computer Interface (BCI) and gaze tracking technologies, it has been investigated on the relation between the trust towards a robotic agent and the effects it has on the brain signals. In order to evaluate this relation, the framework makes use of the acquired brain signals to extract biometric features, such as attention, stress, and mental workload, along with the visual focus. In order to investigate towards this direction, an interactive game session has been set up for the human-robot interaction. In particular, an instance of the well-known Rock-Paper-Scissors game has been used. The experimental results have been shown a correlation between the behaviours of a robotic agent and the effect of trust on the brain signals of the human user. In particular, the emotional response varies depending the type of behaviours expressed by the robotic agent.
- Master's Degree Thesis
- ResearchGate Thesis publication
- ResearchGate Presentation publication
- ResearchGate UniPA BCI Framework project
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