Advanced classification of Alzheimer’s disease and healthy subjects based on EEG markers

Authors: Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Giacomo Tattoli, Domenico Buongiorno, Domenico Signorile, Claudio Babiloni, Claudio Del Percio, Antonio Ivano Triggiani, Loreto Gesualdo Abstract: In this study, we compared several classifiers for the supervised distinction between normal elderly and Alzheimer’s disease individuals, based on resting state electroencephalographic markers, age, gender and education.

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SS-RR: Sviluppo di un Sistema di Rilevazione della Risonanza

Introduction The SS-RR project (Sviluppo di un Sistema per la Rilevazione della Risonanza, english: Development of a System for Resonance Detection) aims to develop methodologies exploiting current technologies in order to provide innovative services. In particular, the detection of harmony levels between one or more people in relation to external stimuli. For example, the measure of […]

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Introductory Lecture to Audio Signal Processing

With this post, slides and source code, used during the introductory lecture on Audio Signal Processing for Human Computer Interaction, are presented. The slides are available on my Slideshare profile or you can follow the link below. Instead, for source code you can download a zip using the GitHub section below or cloning the repository.  

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Design and Implementation of an innovative framework for Speech Emotion Recognition

[English] With this article I want to publish my thesis work in Human-Computer Interaction, for the Master’s Degree in Computer Systems Engineering at Polytechnic of Bari.  The entire thesis has been written in Italian. For this reason, I have prepared a English brief summary explaining all materials, methods, results and conclusions. Use the following link […]

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First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition

Authors: Vitoantonio Bevilacqua, Pietro Guccione, Luigi Mascolo, Pasquale Pio Pazienza, Angelo Antonio Salatino, Michele Pantaleo. Abstract: Speech Emotion Recognition (SER) is a hot research topic in the field of Human Computer Interaction. In this paper a SER system is developed with the aim of providing a classification of the “state of interest” of a human subject involved in a job […]

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