Machine Learning

Smart Health 2.0

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The goal of the project “Smart Health 2.0” is the realization of a technological system that implements an innovative model of healthcare based on the paradigm of digital open architecture, modular and scalable. The system allows to enable the development of new models of applicative cooperation among different operating entities in the field of Health, … Read more

[LAMRECOR] Logistica avanzata per la mobilità di persone e merci: modelli matematici e sperimentazioni per nuovi protocolli di recapito della corrispondenza

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Introduction

The LAMRECOR project (Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery) develops a set of technological solutions and services for advanced logistic, through a high integration of the sorting and delivery system of mail and other postal products of Poste Italiane SpA, with innovative ICT technologies regarding data acquisition, components, modelling, development of processing system, data transmission, and information to customers.

Italy is the country with the highest amount of motorized mobility per capita. This scenario does not only affect the mobility of people but also the mobility of goods. Private land transports covers about 82% of demand. It is recorded a sustained growth of the transport of motorcycles and mopeds. The goods continue to travel mainly by road (71.9% in 2008), boat (18.3%) and for a little part on rails (9.8%).

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

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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 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.

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Figure 1: Typical scenario with the candidate and the recruiter.

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Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery (LAMRECOR project)

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lamrecor
Infrastructure of the Project

 

Authors:

Mario Nicola Armenise, Vito Antonio Bevilacqua, Michele Bozzetti, Leonarda Carnimeo, Caterina Ciminelli, Marcello Di Marzo, Maria Grazia Dotoli, Maria Pia Fanti, Ivan Giannoccaro, Giuseppe Mastronardi, Michele Ottomanelli, Giulio Reina, Arcangelo Messina, Nicola Sasanelli, Lorenzo Abbatecola, Giuseppina Carlone, Massimiliano Dellisanti, Maripina De Palo, Filomena Innone, Angelo Antonio Salatino, Stefani Stipo, Teresa Tatoli, Marco Alessandris, Matteo Mottica, Alessandro Zizzari, Antonio Lorè, Salvatore Malerba

Abstract:

LAMRECOR project, funded by MiUR with Poste Italiane as prime contractor, aims at demonstrating an innovative integrated system for advanced logistics targeted at minimizing the environmental impact of the fleet of vehicles, at optimizing the productive processes, at improving the safety of the postal workers, and at developing new logistics procedures. For enhancing the safety of the workers, an integrated sensors system has been designed.

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Evaluation of Resonance in Staff Selection through Multimedia Contents

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system
Example of scenario during the interview.

 

Authors:

Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D’Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo

Abstract:

In this paper we present the results of an experimental Italian research project finalized to support the classification process of the two behavioural status (resonance and dissonance) of a candidate applying for a job position.

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Design and Implementation of an innovative framework for Speech Emotion Recognition

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[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.

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

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A schematic impression of the main parts of the system
A schematic impression of the main parts of the system

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.

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