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Antonio Camurri

Antonio Camurri

D-Index & Metrics

Computer Science

D-Index
35
Citations
7680
World Ranking
11496
National Ranking
378

Overview

Antonio Camurri is affiliated with the University of Genoa in Italy and conducts research at the intersection of computer science, neuroscience, and psychology. Their work covers numerous topics related to human movement, music perception, and cognitive processes, with a particular focus on action observation, synchronization, and the neural underpinnings of music and emotion.

The scientist's main fields of study include:

  • Computer Science
  • Neuroscience
  • Psychology

Key subfields represented in their research are:

  • Cognitive Neuroscience
  • Computer Vision and Pattern Recognition
  • Social Psychology
  • Signal Processing
  • Experimental and Cognitive Psychology

Their work frequently addresses these topics:

  • Action Observation and Synchronization
  • Neuroscience and Music Perception
  • Music Technology and Sound Studies
  • Human Pose and Action Recognition
  • Music and Audio Processing
  • Human Motion and Animation
  • Tactile and Sensory Interactions

Notable recent publications include:

  • "Interpersonal Entrainment in Music Performance," 2020, Music Perception An Interdisciplinary Journal
  • "Bridging the gap between emotion and joint action," 2021, Neuroscience & Biobehavioral Reviews
  • "Human Movement Datasets: An Interdisciplinary Scoping Review," 2022, ACM Computing Surveys
  • "Understanding Violin Players' Skill Level Based on Motion Capture: a Data-Driven Perspective," 2020, Cognitive Computation
  • "Modeling Multiple Temporal Scales of Full-Body Movements for Emotion Classification," 2021, IEEE Transactions on Affective Computing

Camurri has published multiple articles in top venues such as IEEE Transactions on Affective Computing, 2022 International Joint Conference on Neural Networks (IJCNN), Aging Clinical and Experimental Research, Scientific Reports, and Music Perception An Interdisciplinary Journal.

Their collaborative network includes frequent coauthors such as:

  • Gualtiero Volpe
  • Giorgio Gnecco
  • Benoît G. Bardy
  • Luca Oneto
  • Marina Barbagelata

Best Publications

  • Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques

    Antonio Camurri;Ingrid Lagerlöf;Gualtiero Volpe

  • Recognising Human Emotions from Body Movement and Gesture Dynamics

    Ginevra Castellano;Santiago D. Villalba;Antonio Camurri

  • An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2 and a test of sex/gender differences

    Agnieszka Rynkiewicz;Bjöern Schuller;Erik Marchi;Stefano Piana

  • Analysis of Expressive gesture: The EyesWeb Expressive Gesture Processing library

    Antonio Camurri;Barbara Mazzarino;Gualtiero Volpe

  • Gesture-Based Communication in Human-Computer Interaction

    Antonio Camurri;Gualtiero Volpe

  • EyesWeb: Toward Gesture and Affect Recognition in Interactive Dance and Music Systems

    Antonio Camurri;Shuji Hashimoto;Matteo Ricchetti;Andrea Ricci

  • Multimodal Analysis of Expressive Gesture in Music and Dance Performances

    Antonio Camurri;Barbara Mazzarino;Matteo Ricchetti;Renee Timmers

  • Toward a Minimal Representation of Affective Gestures

    D. Glowinski;N. Dael;A. Camurri;G. Volpe

  • Communicating expressiveness and affect in multimodal interactive systems

    A. Camurri;G. Volpe;G. De Poli;M. Leman

  • Automated Analysis of Body Movement in Emotionally Expressive Piano Performances

    Ginevra Castellano;Marcello Mortillaro;Antonio Camurri;Gualtiero Volpe

  • Measuring social interaction in music ensembles.

    Gualtiero Volpe;Alessandro D'Ausilio;Leonardo Badino;Antonio Camurri

  • An architecture for emotional agents

    A. Camurri;A. Coglio

  • Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain

    Aneesha Singh;Stefano Piana;Davide Pollarolo;Gualtiero Volpe

  • Adaptive Body Gesture Representation for Automatic Emotion Recognition

    Stefano Piana;Alessandra Staglianò;Francesca Odone;Antonio Camurri

  • Technique for automatic emotion recognition by body gesture analysis

    D. Glowinski;A. Camurri;G. Volpe;N. Dael

  • A System for Real-Time Multimodal Analysis of Nonverbal Affective Social Interaction in User-Centric Media

    Giovanna Varni;Gualtiero Volpe;Antonio Camurri

  • The movements made by performers in a skilled quartet: a distinctive pattern, and the function that it serves.

    Donald Glowinski;Donald Glowinski;Maurizio Mancini;Roddy Cowie;Antonio Camurri

  • Sensorimotor communication in professional quartets

    Leonardo Badino;Alessandro D'Ausilio;Donald Glowinski;Antonio Camurri

  • Intelligent agent system for human-robot interaction through artificial emotion

    K. Suzuki;A. Camurri;P. Ferrentino;S. Hashimoto

  • EyesWeb-toward gesture and affect recognition in dance/music interactive systems

    A. Camurri;M. Ricchetti;R. Trocca

  • A multi-layered Conceptual Framework for Expressive Gesture Applications

    Marc Leman;A Camurri;G De Poli;G Volpe

Frequent Co-Authors

Marc Leman
Marc Leman Ghent University
Luciano Fadiga
Luciano Fadiga Italian Institute of Technology
Björn Schuller
Björn Schuller Imperial College London
Ofer Golan
Ofer Golan Bar-Ilan University
Sven Bölte
Sven Bölte Karolinska Institute
Peter Robinson
Peter Robinson University of Cambridge
Catherine Pelachaud
Catherine Pelachaud Sorbonne University
Simon Baron-Cohen
Simon Baron-Cohen University of Cambridge
Frank E. Pollick
Frank E. Pollick University of Glasgow
Klaus R. Scherer
Klaus R. Scherer University of Geneva

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