Katarzyna Szymaniak

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About

Katarzyna Szymaniak is a leading researcher in myoelectric control and human–machine interaction, with a focus on gesture recognition and prosthetic control systems. Her most-cited work, "EMG Dataset for Gesture Recognition with Arm Translation" (2025, 14 citations), addresses a critical challenge in the field: maintaining accuracy and robustness in myoelectric control despite variations in arm position and movement. This contribution is foundational for advancing real-world applications such as limb prosthetics, teleoperation of robots, and immersive Metaverse interactions. Szymaniak’s research bridges the gap between laboratory-based EMG systems and practical, adaptive interfaces that can function reliably in dynamic environments. Her work has significant implications for improving the quality of life for amputees and enabling more intuitive human–robot collaboration. By providing a publicly available dataset and benchmarking framework, she has empowered the broader research community to develop more resilient gesture recognition algorithms. Szymaniak’s contributions are shaping the next generation of myoelectric control systems, making her a key figure in the evolution of assistive and interactive technologies.