Papers
2
Total Citations
43
H-Index
2
About
Katia Giacomino’s research sits at the intersection of human motor control, assistive robotics, and neural engineering, with a primary focus on restoring natural hand function for individuals with amputations. Her most impactful work centers on the development of intelligent myoelectric prostheses—artificial hands controlled by the user’s own muscle signals. To make these devices more intuitive and robust for daily use, Giacomino pioneered the collection and analysis of multimodal datasets that combine gaze tracking, visual information, myoelectric (EMG) signals, and inertial measurements during grasping tasks. Her key contribution is demonstrating how gaze and visual attention can be integrated with traditional myoelectric control to anticipate a user’s intended grasp, thereby reducing cognitive load and improving prosthetic responsiveness. Her 2020 paper on this topic has garnered 36 citations, reflecting its influence in the field. By providing a rich, open-access dataset of synchronized sensory data, Giacomino has enabled other researchers to develop and benchmark more intelligent, context-aware prosthetic controllers. Her work is a critical step toward closing the gap between laboratory-based prosthetics and the seamless, natural control required for real-world use, directly addressing the severe physical and psychological challenges of hand amputation.
Research Focus
Key Achievements
Top Papers
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