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.
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 satisfaction gradient of an interlocutor, happiness gradient of an interviewed person and so on.
In a quite similar scenario, using smartphones, iPhone and other last generation devices it is possible to exploit their sensors to acquire data in order to detect the emotional status. This kind of data are then combined to build a psychological model in order to bind physical-emotional parameters to people’s mood.
The aim of this project was to develop a software application to be installed on equipments and then used during staff selection. A typical scenario is depicted in Figure 1. The software first acquires sounds, facial expressions and also movement of the candidate body and it processes data in order to assess resonance or dissonance evaluating also the synergy between the two subjects.
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. The … Read more
[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 to read the abstract: My Thesis Abstract.pdf.
[Italiano]
Titolo in Italiano: “Progettazione e implementazione di un innovativo framework per il riconoscimento delle emozioni vocali”.
Con questo post si vuole pubblicare il lavoro di tesi, svolto nella disciplina di Interazione Uomo Macchina, per la Laurea Magistrale in Ingegneria Informatica al Politecnico di Bari.
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 interview. Classification of emotions is performed by analyzing the speech produced during the interview.
