Matteo Ricchetti

Papers

Total Citations

295

H-Index

About

Matteo Ricchetti is a pioneering researcher at the intersection of human movement, emotion, and interactive technology. His primary research areas include gesture and affect recognition, interactive dance and music systems, and expressive human-robot communication. Ricchetti’s most significant contribution is the EyesWeb project, a modular platform for real-time analysis of full-body movement and gesture, with a particular focus on detecting emotional or affective content. This groundbreaking work, detailed in his most-cited paper (208 citations), enables performers to control sound, music, visual media, and even robots through their physical expressiveness. His subsequent paper on EyesWeb (62 citations) further refined these techniques for dance and music interaction. Beyond gesture recognition, Ricchetti has explored expressiveness and physicality in interaction, notably in human-robot communication and virtual character synthesis. His work on expressive movement synthesis, applied in artistic productions like the interactive multimedia performance “L’A,” demonstrates the practical impact of his research. With a career spanning foundational papers in the early 2000s, Ricchetti’s work has shaped how we understand and design systems that respond to human emotion and movement, influencing fields from interactive art to robotics.