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Stefano Piana
Researcher at University of Genoa
Publications - 32
Citations - 911
Stefano Piana is an academic researcher from University of Genoa. The author has contributed to research in topics: Gesture & Autism. The author has an hindex of 15, co-authored 32 publications receiving 734 citations.
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Journal ArticleDOI
An investigation of the ‘female camouflage effect’ in autism using a computerized ADOS-2 and a test of sex/gender differences
Agnieszka Rynkiewicz,B. Schuller,Erik Marchi,Stefano Piana,Antonio Camurri,Amandine Lassalle,Simon Baron-Cohen +6 more
TL;DR: A new technique that allows automated coding of non-verbal mode of communication (gestures) and offers the possibility of objective, evaluation of gestures, independent of human judgment is described.
Journal ArticleDOI
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,Giovanna Varni,Ana Tajadura-Jiménez,Amanda C de C Williams,Antonio Camurri,Nadia Bianchi-Berthouze +8 more
TL;DR: A new sonification framework, Go-with-the-Flow, informed by physiotherapists and people with CP, is proposed that proposes articulation of user-defined sonified exercise spaces (SESs) tailored to psychological needs and physical capabilities that enhance body and movement awareness to rebuild confidence in physical activity.
Journal ArticleDOI
Adaptive Body Gesture Representation for Automatic Emotion Recognition
TL;DR: A computational model and system for the automated recognition of emotions starting from full-body movement that has been successfully applied in the development of serious games for helping autistic children learn to recognize and express emotions by means of their full- body movement.
Posted Content
Real-time Automatic Emotion Recognition from Body Gestures.
TL;DR: An approach to realtime automatic emotion recognition from body movements extracted from sequences 3D skeletons and fed to a multi-class SVM classifier that reached an overall recognition rate of 61.3% which is very close to the recognition rate obtained by human observers.
Proceedings ArticleDOI
The Dancer in the Eye: Towards a Multi-Layered Computational Framework of Qualities in Movement
Antonio Camurri,Gualtiero Volpe,Stefano Piana,Maurizio Mancini,Radoslaw Niewiadomski,Nicola Ferrari,Corrado Canepa +6 more
TL;DR: 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.