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Nelly Condori Fernandez
Nelly Condori Fernandez
Universidad Politecnica de Valencia
Key research interests:

Empirical research for emotion-oriented computing, Emotional Usability, Emotion measurement.
Valentina Franzoni
Valentina Franzoni
Sapienza University of Rome
Key research interests:

emotion recognition in web objects by means of semantic similarity for AI and robotics applications
Armindo Freitas-Magalhaes
Armindo Freitas-Magalhaes
University Fernando Pessoa Health Science School
Key research interests:

Deception / Lying Psychology Emotion Facial expression Health Psychology Neuropsychology Psychophysiology FACS (Facial Action Coding System)
Oscar N. Garcia
Oscar N. Garcia
EE Dept, University of North Texas
Key research interests:

Most recently I have been working on joint compression and encryption but continue to work on emotions stimulated by music. Emotions are disclosed in and elicited by sensory inputs such as speech, noises and music and, of course, vision, kinesis and other neural stimulations. However, it is difficult to measure affective features and their generators. Our immediate research objective is to find physical metrics for the determination of the emotional content of stimuli and its general capacity to elicit emotional response. We have analyzed speech databases, and also a labeled database having a variety of sound sources. We are considering as features the pitch, amplitude, MFCC, duration, contour, etc. coded and clustered. We have now constructed, as unbiased as possible, an emotional database of original monophonic flute excerpts, labeled by 118 subjects, and we are in the process of finding the statistical DSP properties of these features that correlate and interact with emotional perceptions. We utilize Russell's Circumplex and have found a quadratic functional dependence of the dominance dimension to the arousal and valence dimensions. Software has been developed in MATLAB for this purpose. We have also researched speech-driven facial animations and look forward to combining our application of realistic audio-visual simulation to HMMS that provide non-real time movie scripts representing audio-visually emotions in synthesized human faces and speech. We are now particularly interested in finding acoustic and affective markers to determine metrics for Parkinson patients.
Patrick Gebhard
Patrick Gebhard
German Research Center for Artificial Intelligence
Key research interests:

Affective Computing, Computationally Modelling Affect, HCI, Natural Interaction
Jeffrey M Girard
Jeffrey M Girard
University of Pittsburgh
Key research interests:

facial behavior, dyadic interaction, personality, psychopathology
Donald Glowinski
Donald Glowinski
NEAD-CISA / University of Geneva, Switzerland
Key research interests:

Multimodal affective computing with a focus on automatic behavior analysis of individuals and small groups. Look for the minimal and efficient display to convey an emotional content through body movement. Devise novel strategies for evaluate Natural User Interfaces.
Roland Goecke
Roland Goecke
University of Canberra
Key research interests:

One of my general research interests is in multimodal HCI. In emotion research, I focus on multimodal affective sensing using audio, video, and physiological sensors. I strongly believe that only multimodal systems can deliver the accuracy and robustness required for real-world applications. I am also interested in continuous-space representations of emotions, rather than discrete emotion spaces, to represent combinations of emotions which are often found in practical situations. From an applications point of view, I currently work on applying affective computing in areas of HCI, health care, and sports studies.
Petar Goulev
Petar Goulev
Imperial College London
Key research interests:

Affective Computing, Wearables, Emotions
Joseph Grafsgaard
Joseph Grafsgaard
University of Notre Dame
Key research interests:

Multimodal affective interaction Recognition and understanding of nonverbal behavior (e.g., facial expression, gesture, posture) Affect-sensitive intelligent tutoring systems
Floriana Grasso
Floriana Grasso
University of Liverpool
Key research interests:

Broadly speaking, I am interested in persuasiveness, and what it takes to achieve effective (and affective) communication. I approach this problem from two points of view: •high level discourse modelling and rhetoric: I am interested in pragmatics issues (such as modelling the speaker's goals and strategies to generate persuasive discourse), and I gather insights from theories from classical argumentation in philosophy. It’s somewhat a shame that these (hard!) problems seem to have disappeared from mainstream computational linguistics events, and that there has been very little cross-fertilisation with the philosophy of argument, but there you go. •cognitive modelling: I am interested in studying how to model and reason with extra-rational characteristics, besides knowledge and beliefs, such as opinions, values, emotions. I am especially concerned with how values/emotions enter into argumentation, and how these contribute to dynamics like cognitive dissonance or motivated belief revision. One of my major application areas for this research is health informatics, where I have look at how to provide personalised and persuasive information or advice on healthier lifestyles.
Jonathan Gratch
Jonathan Gratch
University of Southern California
Key research interests:

NOW HIRING (http://emotion-research.net/publicnews/uscjob2006). Our interest is in studying the processes underlying behavior that people interpret as emotional. What is the information processing that underlies this behavior, how is it physically and mentally manifested, what features of this behavior drives an observers interpretation, how might these interpretations influence the behavior of an observer, and, most importantly, how might these phenomena be captured and exploited by computational models.
Shirley Gregor
Shirley Gregor
Australian National University
Key research interests:

online emotional experiences
Hatice Gunes
Hatice Gunes
University of Cambridge
Key research interests:

automatic affect prediction and recognition, affective face/head/body gesture analysis, multi-cue and multi-modal affect analysis, affect data acquisition and annotation, affect representation and modeling, personality computing, social signal processing, human-robot interaction, social robotics, machine learning and computer vision.
Zakia Hammal
Zakia Hammal
The Robotics Institute at Carnegie Mellon University (CMU)
Key research interests:

* Facial features segmentation. * Facial expressions classification. * Vocal expressions classification. * Multi-modal facial and vocal expressions recognition. * Gaze direction and Vigilance estimation. * Visual perception
Mitsuyo Hashida
Mitsuyo Hashida
Soai University
Key research interests:

Musical Design Supporting, Music performance rendering, Music expression, Composition for computer music
Alexis Heloir
Alexis Heloir
DFKI
Key research interests:

My main research interest is the analysis and synthesis of plausible human motion.
Dirk Heylen
Dirk Heylen
University of Twente: HMI
Key research interests:

Involved in research on embodied conversational agents and face-to-face interactions between human agents, I am primarily interested in modelling the way conversations influence and are influenced by the emotions of the participants. This involves building richer dialogue management models that take into account the mental state of speaker and hearer when planning and executing a multi-modal conversational act (linguistic and nonverbal) and in interpreting multi-modal acts.
Rumi Hiraga
Rumi Hiraga
Tsukuba University of Technology
Key research interests:

Musical performance by hearing-impaired people
Jesse Hoey
Jesse Hoey
University of Waterloo
Key research interests:

Affect Control Theory, Agents, Artificial Intelligence
Isabelle Hupont
Isabelle Hupont
Aragon Institute of Technology
Key research interests:

Affect recognition from face, gaze and text. Affective virtual agents and affective-aware applications.
Sylwia  Hyniewska
Sylwia Hyniewska
Télécom ParisTech & Université de Genève
Key research interests:

spontaneous behaviour, non verbal patterns, appraisal, embodied virtual agents, temporal aspect of emotions, psychophysiological cues
Florian Hönig
Florian Hönig
Chair for pattern recognition @ FAU Erlangen-Nürnberg
Key research interests:

Automatic recognition of user state (e.g. stress) in physiological signals and speech; Eliciting of emotions, labelling issues, feature extraction, classification models
Theodoros Iliou
Theodoros Iliou
University of the Aegean-GREECE
Key research interests:

emotion recognition from speech
Christian Jacquemin
Christian Jacquemin
LIMSI-CNRS
Key research interests:

tangible interfaces affective computing facial expressions expressions of emotions virtual agents acted emotions emotions and performing arts embodied conversational agents expressive speech
William Jarrold
William Jarrold
MIND Institute University of California at Davis
Key research interests:

Virtual reality, autism and social attention; rule-based models of social cognition, cognitive empathy, affective theory of mind; emotion ontologies; knowledge engineering and emotion; Assisting with psychiatric and neurological assessment using speech analysis (applying automatic speech recognition, lexical/acoustic/prosodic feature extraction, machine learning for these purposes); affective and social aspects of neurodegenerative disease
Hazael Jones
Hazael Jones
Montpellier SupAgro, UMR ITAP
Key research interests:

spatial modelisation, spatial simulation, affective computing, emotion, mood, attitude, emotional contagion, perception, virtual character, precision agriculture
Brendan Jou
Brendan Jou
Google
Key research interests:

Emotion recognition with computer vision & multimodal computing; Modeling emotion relatedness; Multicultural affect; Face biometrics and facial expression recognition
Arvid Kappas
Arvid Kappas
Jacobs University Bremen
Key research interests:

Expressive behavior in social context (often measured using facial EMG) :: Perception of emotion :: Appraisals :: Physiological responses associated with affective processes :: Empathy and facial feedback :: Psychological underpinnings of the uncanny valley :: Collective emotions in Cyberspace :: Face-to-face communication over the Internet :: Emotional reactions to press photography :: Social neuroscience
Seliz Karadogan
Seliz Karadogan
DTU Informatics, Technical University of Denmark, DK-2800, Kgs. Lyngby, Denmark
Key research interests:

emotion recognition from speech, speech recognition, auditory attention, machine learning for signal processing applications, hearing aids
 
 
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