Luca Merigo

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About

Luca Merigo is a researcher at the forefront of wearable computing and human-computer interaction, with a specialized focus on pervasive eye-tracking technology 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 the field: enabling accurate, real-time gaze tracking on resource-constrained devices without sacrificing battery life. Merigo’s major contribution lies in developing a hierarchical network architecture that intelligently balances computational load, allowing for high-precision eye-tracking while operating within the strict power budgets of modern eyewear. This breakthrough not only enhances intuitive, hands-free interaction for users but also significantly improves accessibility for individuals with motor impairments. By tackling the fundamental tension between accuracy and energy efficiency, Merigo’s work paves the way for more practical and widespread adoption of smart glasses in daily life. His research is instrumental in bridging the gap between cutting-edge sensor technology and the real-world constraints of portable, low-power devices—a key step toward truly seamless wearable computing.