Salvatore Sorce

University of Palermo

Papers

2

Total Citations

9

H-Index

2

About

Salvatore Sorce is a researcher whose work sits at the compelling intersection of human-robot interaction, affective computing, and real-time gesture recognition. His most notable contribution explores how a humanoid robot can dynamically convey audience emotions through expressive gestures during a live musical performance, effectively allowing the robot to act as an emotional bridge between the audience and an orchestra. This pioneering study, with 7 citations, demonstrates a novel application of robotics in the performing arts, blending technical innovation with artistic expression. Sorce has also advanced the field of gesture recognition by developing methods for real-time body gesture identification using constrained training sets, a technique that improves computational efficiency without sacrificing accuracy. His research not only pushes the boundaries of how robots can interpret and respond to human emotional states but also offers practical frameworks for interactive systems in entertainment, therapy, and collaborative robotics. Sorce’s work stands out for its creative integration of technology and human experience, making him a notable figure in the growing domain of socially aware robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Conveying Audience Emotions Through Humanoid Robot Gestures to an Orchestra During a Live Musical Exhibition
7 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Palermo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago