Antonio Camurri
ABSTRACT
This paper presents a conceptual framework for the analysis of expressive qualities of movement. Our perspective is to model an observer of a dance performance. The conceptual framework is made of four layers, ranging from the physical signals that sensors capture to the qualities that movement communicate (e.g., in terms of emotions). The framework aims to provide a conceptual background the development of computational systems can build upon, with a particular reference to systems analyzing a vocabulary of expressive movement qualities, and translating them to other sensory channels, such as the auditory modality. Such systems enable their users to "listen to a choreography" or to "feel a ballet", in a new kind of cross-modal mediated experience.
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- Antonio Camurri, Barbara Mazzarino, Gualtiero Volpe, Pietro Morasso, Federica Priano, and Cristina Re. 2003. Application of multimdia techniques in the physical rehabilitation of Parkinson's patients. Comput Anim Virtual Worlds (formerly Journal of Visualization and Computer Animation) 14, 5: 269--278.Google Scholar
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- Donald Glowinski, Maurizio Mancini, Roddie Cowie, Antonio Camurri, Carlo Chiorri, and Cian Doherty. 2013. The movements made by performers in a skilled quartet: a distinctive pattern, and the function that it serves. Front. Psychol. 4: 841.Google ScholarCross Ref
- Donald Glowinski, Nele Dael, Antonio Camurri, Gualtiero Volpe, Marcello Mortillaro, and Klaus Scherer. 2011. Towards a Minimal Representation of Affective Gestures. IEEE Trans Affective Comput 2, 2: 106--118. Google ScholarDigital Library
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- Radoslaw Niewiadomski, Maurizio Mancini, Gualtiero Volpe, and Antonio Camurri. 2015. Automated Detection of Impulsive Movements in HCI. In Proceedings of the 11th Biannual Conference of Italian SIGCHI Chapter (CHItaly 2015), 166--169. Google ScholarDigital Library
- Katie Noble, Donald Glowinski, Helen Murphy, Corinne Jola, Phil McAleer, Nikhil Darshane, Kedzie Penfield, Sandhiya Kalyanasundaram, Antonio Camurri, and Frank E. Pollick. 2014. Event Segmentation and Biological Motion Perception in Watching Dance. Art & Perception 2, 1--2: 59--74.Google ScholarCross Ref
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- Stefano Piana, Alessandra Staglianò, Francesca Odone, and Antonio Camurri. 2016. Adaptive Body Gesture Representation for Automatic Emotion Recognition. ACM Trans Interact Intell Syst 6, 1: 6. Google ScholarDigital Library
- Stefano Piana, Paolo Alborno, Radoslaw Niewiadomski, Maurizio Mancini, Gualtiero Volpe, and Antonio Camurri. 2016. Movement Fluidity Analysis Based on Performance and Perception. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16), 1629--1636. Google ScholarDigital Library
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- Aneesha Singh, Stefano Piana, Davide Pollarolo, Gualtiero Volpe, Giovanna Varni, Ana Tajadura-Jiménez, Amanda CdeC Williams, Antonio Camurri, and Nadia Bianchi-Berthouze. 2016. Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain. Human-Computer Interaction 31, 3--4: 335--383. Google ScholarDigital Library
- Giovanna Varni, Gualtiero Volpe, and Antonio Camurri. 2010. A System for Real-Time Multimodal Analysis of Nonverbal Affective Social Interaction in User-Centric Media. IEEE Trans Multimedia 12, 6: 576--590. Google ScholarDigital Library
- Gualtiero Volpe, and Antonio Camurri. 2011. A system for embodied social active listening to sound and music content. ACM Journal on Computing and Cultural Heritage, 4, 1:2--23. Google ScholarDigital Library
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Index Terms
- The Dancer in the Eye: Towards a Multi-Layered Computational Framework of Qualities in Movement
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