Marc Leman

Ghent University

Papers

2

Total Citations

6

H-Index

2

About

Marc Leman is a pioneering researcher at the intersection of musicology, movement science, and human-robot interaction. His work centers on embodied music cognition, exploring how the human body perceives, interprets, and physically responds to musical rhythms and dance. A key contribution is his development of a parameterizable spatiotemporal representation of popular dance styles, designed to enable humanoid robots to perform culturally expressive movements—a foundational step for believable robotic animation. More recently, Leman has advanced the field of Human-Robot-Human (HRH) interaction, demonstrating how portable elbow exoskeletons can enhance motor synchrony between individuals during rhythmic dyadic tasks. This work has profound implications for rehabilitation, collaborative work, and social robotics. While his most cited paper on dance representation has garnered 4 citations, and his exoskeleton study 2 citations, the conceptual and methodological impact of his research is substantial, bridging computational modeling with real-world physical coordination. Leman’s career reflects a sustained commitment to understanding how music and movement shape human interaction, and how technology can augment that connection.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A parameterizable spatiotemporal representation of popular dance styles for humanoid dancing characters
4 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Ghent University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago