Anne-Gabrielle Mittaz Hager
HES-SO University of Applied Sciences and Arts Western Switzerland
Papers
6
Total Citations
1,060
H-Index
6
About
Anne-Gabrielle Mittaz Hager is a leading researcher in rehabilitation robotics and prosthetics, with a particular focus on the non-invasive control of robotic hand prostheses for amputees. Her work sits at the intersection of biomedical engineering, machine learning, and human-computer interaction, addressing one of modern medicine's most compelling challenges: restoring natural hand functionality to those who have experienced limb loss. Her most influential contribution is the 2014 dataset paper "Electromyography data for non-invasive naturally-controlled robotic hand prostheses," which has garnered an remarkable 931 citations and has become a foundational resource for researchers worldwide working on myoelectric prosthetic control. This work democratized access to high-quality surface electromyography (sEMG) data, accelerating progress across the field considerably. Mittaz Hager has further advanced the discipline by investigating how clinical parameters and prosthesis use experience affect control capability, and by pioneering multimodal data integration — combining gaze tracking, visual, inertial, and myoelectric signals through her Megane Pro platform. This innovative approach recognizes that robust, real-world prosthetic control demands richer information than sEMG alone can provide. Her research offers genuine hope for amputees seeking more intuitive, reliable prosthetic solutions in everyday life.
Research Focus
Key Achievements
Top Papers
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