Modulo di Affective Computing: Lo studente acquisirà conoscenze relative alle emozioni e alle sue correlazioni con i segnali fisiologici. Oltre alle emozioni verranno studiati anche i correlati fisiologici con i disordini mentali
modulo di social robotics: lo studente acquisirà conoscenze relative al mondo dei robot atti all'interazione sociale, degli strumenti di programmazione di quest'utlimi e dei paradigmi di progettazione e test di questi apparati
Affective Computing: Students will gain knowledge about theories of emotion and mood disorders. Specifically they will learn how to model emotions and how to correlate them to the patterns of physiological signals.
Social Robitcs: students will acquire knowledge related to the world of robots suitable for social interaction, the programming tools, the design, the prototyping and the testing of paradigms of these machines
Modulo di Affective Computing: Le conoscenze acquisite verranno verificate attraverso test in itinere e finale
Modulo di Social Robotics: Le conoscenze acquisite verranno verificate attraverso test in itinere e finale
both modules: The gained knowledge will be assessed through ongoing tests.
Modulo di Affective Computing: Lo studente sarà in grado di capire le relazioni tra pattern di segnali fisioligici e emozioni, quindi sarà in grado di identificare e caratterizzare le emozioni oltre che capire la neurofisiologia dei disordini mentali.
Modulo di Social Robotics: Lo studente sarà in grado di progettare in termini funzionali e di definire uno schema di comportamento e relazione uomo-macchina per un robot sociale ma anche per un oggetto "smart" e/o un'applicazione mobile.
Affective computing: Students will be able to process physiological data applying advanced linear and nonlinear methods trying to correlate that to the emotional experiences.
Social Robotics: students will be able to design and define (in functional terms)a human-machine behavior and relationship scheme for a social robot but also for a "smart" object and/or a mobile application.
Modulo di Affective Computing: Progetto sperimentale finale e prova orale
Modulo di Social Robotics: Progetto sperimentale finale e prova orale
both modules: It is planned a final project with an experimental paradigm.
Modulo di Affective Computing: Capacità di progettare un protocollo sperimentale e definire un paradigma dettagliato
Modulo di Social Robotics: Lo studente potrà acquisire e/o sviluppare sensibilità alle problematiche di interazione sociale ed emaptica fra uomo e robot e fra uomo e macchina. Lo studente potrà inoltre saper gestire responsabilità di esecuzione e formalizzazione di un progetto di design di prodotto
Affective computing: Real experimental data will be collected with a suitable protocol
Social Robotics: student will be able to acquire and/or develop sensitivity to the problems of social and hemapic interaction between humans and robots and between humans and machines. The students will also be able to manage responsibility for the execution and formalization of a product design project
Modulo di Affective Computing: Progetto sperimentale finale
Modulo di Social Robotics: Progetto sperimentale finale
both modeuls: Assessment will be done through the design a final experimental protocol
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Modulo di Affective Computing: Lezioni frontali e esercitazioni di laboratorio
Modulo di Social Robotics: Lezioni frontali e esercitazioni di laboratorio
both modules: Frontal lesson and laboratory practice
Modulo di Affective Computing:
Limbic system and hemisphere pre-cortex
Autonomic nervous system: fight or flight and rest and disgest theories
Theories of emotion: how emotions arise
Heart rate variability: methods of analysis and feature extraction
Respiration activity: methods of analysis and feature extraction
Complexity and chaos theory
A special focus on DFA and Entropy
Non-linear methods for feature extraction from physiological signals
Examples of practical applications on non-linear methods in the emotional domain
Time-varying Nonlinear Models of Human Heartbeat Dynamics
Examples of practical applications on point process in the filed of affective computing
Electrodermal activity: models, methods of analysis and feature extraction
Examples of practical applications electrodermal activity and emotions
EEG: methods of analysis and feature extraction
Examples of practical applications on EEG , BCI and emotions
Speech voice processing: models, methods of analysis and feature extraction
Examples of practical applications on emotional speech analysis
Neuroimaging in psychatry
Sleep and dream analysis
Planning and timeline of the assigned projects
Modulo di Socila Robotics:
Limbic system and hemisphere pre-cortex
Autonomic nervous system: fight or flight and rest and disgest theories
Theories of emotion: how emotions arise
Heart rate variability: methods of analysis and feature extraction
Respiration activity: methods of analysis and feature extraction
Complexity and chaos theory
A special focus on DFA and Entropy
Non-linear methods for feature extraction from physiological signals
Examples of practical applications on non-linear methods in the emotional domain
Time-varying Nonlinear Models of Human Heartbeat Dynamics
Examples of practical applications on point process in the filed of affective computing
Electrodermal activity: models, methods of analysis and feature extraction
Examples of practical applications electrodermal activity and emotions
EEG: methods of analysis and feature extraction
Examples of practical applications on EEG , BCI and emotions
Speech voice processing: models, methods of analysis and feature extraction
Examples of practical applications on emotional speech analysis
Neuroimaging in psychatry
Sleep and dream analysis
Planning and timeline of the assigned projects
Social Robotics module:
Modulo di Affective Computing: Appunti e dispense forniti dal docente
Modulo di Social Robotics: Appunti e dispense forniti dal docente
both modules: Notes provided by the teacher
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Modulo di Affective Computing: Progetto finale più prova pratica
Modulo di Social Robotics: Progetto finale più prova orale
both modules: Practical and oral test
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