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Comunicazione non verbale:

computazione affettiva

Corso di Interazione uomo-macchina II

Prof. Giuseppe Boccignone

Dipartimento di Scienze dell’Informazione

Università di Milano

boccignone@dsi.unimi.ithttp://homes.dsi.unimi.it/~boccignone/l

Ipotesi di lavoro: interazione fra organismi

metabolismo

emozioni

motivazioni

azione

percezione

riflessione

metabolismo

emozioni

motivazioni

azione

percezione

riflessione

verbalenon verbale

ambiente

Riconoscere emozioni

metabolismo

emozioni

motivazioni

azione

percezione

riflessione

ambiente

PROCESSI

COSTITUTIVI

PROCESSI

INTERATTIVI

AUTONOMIA /

LIVELLI DI CONTROLLO

CONTROLLO

VISCERALE

REGOLAZIONE

OMEOSTATICA

CONTROLLO

EMOTIVO

CONTROLLO

RIFLESSIVO /

COGNITIVO

Goals

interni

Goals

esterni

confine del corpo

situato nell’ambiente

Riconoscere emozioni

A. Vinciarelli, M. Pantic, H. Bourlard, Social Signal Processing: Survey of an Emerging Domain,Image and Vision Computing (2008)

Emotional expression

A. Vinciarelli, M. Pantic, H. Bourlard, Social Signal Processing: Survey of an Emerging Domain,Image and Vision Computing (2008)

Emotional expression

Emotional expression

• Approcci possibili:

• Discrete (Ekman) vs. Dimensional (Russell)

• AU-based (Ekman) vs. holistic

Riconoscere emozioni da espressioni facciali

Paradigma dominante

• Approcci possibili:

• Discrete (Ekman) vs. Dimensional (Russell)

• AU-based (Ekman) vs. holistic

Riconoscere emozioni da espressioni facciali

Paradigma dominante Approcci robusti

• Approcci possibili:

• Discrete (Ekman) vs. Dimensional (Russell)

• AU-based (Ekman) vs. holistic

Riconoscere emozioni da espressioni facciali

Meno consueti

Usati soprattutto nella simulazione virtuali

Analisi di emozioni in musica o nel parlato

Riconoscere emozioni da espressioni facciali

//http://www.visual-recognition.nl/index.html

Riconoscere emozioni da espressioni facciali

Expression vs identity

//A.J. Calder et al. : Vision Research 41 (2001)

Expression vs identity

//A.J. Calder et al. : Vision Research 41 (2001)

Expression vs identity

//A.J. Calder et al. : Vision Research 41 (2001)

Expression vs identity

//A.J. Calder et al. : Vision Research 41 (2001)

Expression vs identity

//A.J. Calder et al. : Vision Research 41 (2001)

Schema generale di un sistema per AU detection

Riconoscere emozioni da espressioni facciali

//Bartlett et al.

Riconoscere emozioni da espressioni facciali

//Bartlett et al.

Riconoscere emozioni da espressioni facciali

//Bartlett et al.

Unified Probabilistic Framework

for Spontaneous Facial Action Modeling

• Tong et al (2010)

Unified Probabilistic Framework

for Spontaneous Facial Action Modeling

• Tong et al (2010)

Mind-Reading Machines:

Automated Inference of Complex Mental States

by Rana Ayman el Kaliouby

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Mind-Reading Machines:

Automated Inference of Complex Mental States

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Active and Dynamic Information Fusion

for Facial Expression Understanding

• Zhang & Ji

Dimensional approach via Gabor wavelets

• Lyons et al.

Dimensional approach via Gabor wavelets

• Lyons et al.

• Gabor and human similarity data was

analyzed usingnon-metric

multidimensional scaling (nMDS) using

theALSCAL algorithm [13].

• nMDS embeds points in a euclidean

space in such a way that the distances

between points preserves the rank order

of the dissimilarity values betweenthose

points.

• it was found that two dimensions

provide an adequate embedding of the

similarity data

Dimensional approach via Gabor wavelets

• Lyons et al.

• Gabor and human similarity data was

analyzed usingnon-metric

multidimensional scaling (nMDS) using

theALSCAL algorithm [13].

• nMDS embeds points in a euclidean

space in such a way that the distances

between points preserves the rank order

of the dissimilarity values betweenthose

points.

• it was found that two dimensions

provide an adequate embedding of the

similarity data

Dimensional approach via Gabor wavelets

Emotion by dynamical simulation

• Essa & Pentland (1997): We describe a computer vision system for observing

facial motion by using an optimal estimation optical flow method coupled with

geometric, physical and motion-based dynamic models describing the facial

structure. Our method produces a reliable parametric representation of the

face’s independent muscle action groups, as well as an accurate estimate of

facial motion.

• Essa & Pentland (1997):

Emotion by dynamical simulation

• Essa & Pentland (1997):

Emotion by dynamical simulation

• Essa & Pentland (1997):

Emotion by dynamical simulation

• Essa & Pentland (1997):

Emotion by dynamical simulation

• Essa & Pentland (1997):

Emotion by dynamical simulation

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

• The activation of single AUs in a

pleasure and arousal space. Note that

these

• distributions are different for different

Action Units.

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

Reconstruction of Facial Expressions in Embodied

Systems

• Karl Grammer & Elisabeth Oberzaucher

Sociable robots

• Kismet

Sociable robots

• Kismet

Sociable robots

• Kismet

Sociable robots

• Kismet

Sociable robots

• Kismet

Sociable robots

• Kismet

Sociable robots

• Kismet

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