Giulio Marano

HES-SO University of Applied Sciences and Arts Western Switzerland, Luxottica (Italy)

Papers

Total Citations

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About

Giulio Marano is pioneering the intersection of wearable computing and assistive technology, with a primary focus on advancing human-machine interaction through intelligent signal processing. His research centers on two transformative areas: myoelectric control for dexterous hand prostheses and pervasive eye-tracking for smart eyewear. In his highly cited 2021 study (9 citations), Marano critically examined domain adaptation challenges in prosthetic control, questioning the effectiveness of transfer learning techniques for electromyography-based pattern recognition—a fundamental issue that has hindered the real-world adoption of robotic hands. His work highlights the critical need to reduce the training burden for users, directly addressing a major barrier to clinical translation. More recently, Marano has pushed the boundaries of wearable computing with his 2025 paper (7 citations) on low-power hierarchical networks for eye-tracking on smart eyewear. This work tackles the formidable challenge of balancing accuracy with the severe computational and energy constraints of compact devices, proposing a novel architecture that could make intuitive, hands-free interaction truly pervasive. Through these contributions, Marano is shaping the future of assistive and wearable technologies, making them more practical, accessible, and responsive to human needs.