EyesWeb - Toward Gesture and Affect Recognition in Dance/Music Interactive Systems

Authors:
Antonio Camurri;Matteo Ricchetti;Riccardo Trocca
Affiliations:
Università di Genova;Università di Genova;Università di Genova
Venue:
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Year:
1999

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Abstract

The EyesWeb project concerns the development of a system for real-time analysis of full-body movement and gesture of one or more humans, with a particular focus to affect or emotion content. Such information is used to control and generate sound, music, visual media, and to control actuators (e.g., robots). A main goal is to explore extensions of music language toward gesture and visual languages. The paper describes the state of the art of the project, the design of the current EyesWeb system modules (hardware and software), their experimenting in public events, and discusses ongoing developments.