Luca Francesco Raduzzi

Politecnico di Milano

Papers

1

Total Citations

7

H-Index

1

About

Luca Francesco Raduzzi is a pioneering researcher in pervasive computing and wearable technology, with a specialized focus on low-power eye-tracking systems for smart eyewear. His most-cited work, "Low-Power Hierarchical Network: Pervasive Eye-Tracking on Smart Eyewear" (2025, 7 citations), addresses a critical challenge in wearable computing: enabling accurate, real-time gaze detection while operating under severe energy constraints. Raduzzi’s key contribution lies in developing a hierarchical neural network architecture that optimally balances computational efficiency with tracking precision, making pervasive eye-tracking viable for battery-powered devices. This innovation has significant implications for accessibility technologies, hands-free interaction, and augmented reality interfaces. By demonstrating that high-accuracy eye-tracking can be achieved on resource-limited platforms, Raduzzi has opened new pathways for intuitive human-computer interaction in everyday eyewear. His work represents a notable achievement in bridging the gap between cutting-edge computer vision and practical hardware limitations, positioning him as an emerging leader in the field of energy-efficient wearable systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Low-Power Hierarchical Network: Pervasive Eye-Tracking on Smart Eyewear
7 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Politecnico di Milano

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago