Riccardo Trocca
Papers
3
Total Citations
273
H-Index
3
About
Riccardo Trocca is a pioneering researcher in the field of human-computer interaction, with a primary focus on the real-time analysis of full-body movement and gesture for expressive and affective computing. His most significant contribution is the development of the EyesWeb platform, a modular, open system designed to capture and interpret human gesture and emotional cues, enabling users to control sound, music, visual media, and even robotic actuators through movement. The foundational paper on this project, "EyesWeb: Toward Gesture and Affect Recognition in Interactive Dance and Music Systems" (2000), has garnered 208 citations, underscoring its lasting influence on interactive arts and technology. A subsequent work from 2003, with 62 citations, further refined these methods for dance and music systems. Trocca’s research also explores the extraction of KANSEI—or emotional content—from human expressive gesture, aiming to improve the man-machine interface. His work has been instrumental in bridging the gap between computational analysis and artistic expression, offering tools that empower performers, composers, and researchers to create more intuitive and emotionally resonant interactive systems.
Research Focus
Key Achievements
Top Papers
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