Inna Forsiuk
Papers
3
Total Citations
15
H-Index
2
About
Inna Forsiuk is a leading researcher at the intersection of motor neuroscience, rehabilitation robotics, and human-machine interaction. Her work focuses on the comprehensive characterization of upper-limb movement, integrating electrophysiological, kinematic, and tactile data to advance both fundamental motor control research and clinical applications. Forsiuk’s major contributions include the development of multimodal datasets and standardized protocols that enable objective benchmarking of robotic neurorehabilitation technologies. Her most cited work, “Reach&Grasp” (2025, 9 citations), provides a rich multimodal dataset of the whole upper-limb during simple and complex movements, capturing tactile data alongside traditional measurements to drive innovations in active prostheses. She also pioneered “NeBULA” (2023, 4 citations), a standardized protocol for evaluating robotic-based upper-limb neurorehabilitation, addressing a critical gap in assessing therapeutic value. Her recent EEG-EMG dataset (2025, 2 citations) explores electrophysiological biomarkers for assessing exoskeleton-assisted reaching tasks. Forsiuk’s work is foundational for developing more effective, personalized rehabilitation technologies and intelligent prosthetic systems.
Research Focus
Key Achievements
Top Papers
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