Papers
2
Total Citations
7
H-Index
2
About
I. E. Gulenko’s research centers on multimodal human-machine interfaces, virtual reality, and assistive medical systems, with a focus on integrating dynamic image processing and multi-agent robotics to improve accessibility and interaction. A key contribution is the development of a gesture translation system for people with disabilities, enabling communication through learning-by-showing technology and virtual operation—work detailed in their most-cited paper, “MULTIMODAL MAN-MACHINE INTERFACE AND VIRTUAL REALITY FOR ASSISTIVE MEDICAL SYSTEMS” (2007, 5 citations). This research explores how mechatronic systems and computers can be harnessed for assistive purposes, bridging virtual and physical realms. In a related study, “Analysis, processing and transfer of dynamic images in virtual reality models” (2006, 2 citations), Gulenko advances methods for capturing, analyzing, and transferring dynamic images from real-life scenes into multi-agent virtual reality models, with applications in robotic control and man-machine interfaces. Though citation counts are modest, the work’s focus on practical, human-centered technology—particularly for disability support—highlights its significance in the niche of assistive VR and robotics. Gulenko’s contributions offer foundational insights for researchers exploring inclusive design and real-time virtual interaction.
Research Focus
Key Achievements
Top Papers
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