Myroslava Shevska

Slovak University of Technology in Bratislava

Papers

Total Citations

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About

Myroslava Shevska is an emerging researcher at the forefront of human-machine interaction, whose work is shaping the future of how we communicate with intelligent systems. Her primary research areas center on gesture recognition, human-robot interaction (HRI), and the application of advanced neural network architectures to bridge the gap between human movement and mechatronic control. In her most cited work, "Evaluation of Motion-Capture Suit Data and Gesture Recognition Using LSTM and GRU Neural Networks," Shevska tackles the critical challenge of intuitive interfaces by leveraging motion-capture technology. She demonstrates how recurrent neural networks can decode complex human gestures into precise commands for mechatronic devices, achieving robust recognition accuracy that paves the way for more natural, wearable control systems. While her citation count is still growing—a testament to the novelty of her 2025 publication—this foundational study signals a significant contribution to the field. Shevska’s research holds promise for applications ranging from assistive robotics to immersive virtual environments, marking her as a rising voice in the quest for seamless human-machine symbiosis.