Anatoliy Sachenko

University of Information Technology and Management in Rzeszow

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About

Anatoliy Sachenko is a leading researcher in artificial intelligence and sensor systems, with a particular focus on intelligent data processing for human activity recognition and industrial applications. His work bridges machine learning, neural networks, and ubiquitous computing to develop robust recognition systems. Notably, his 2019 paper "Artificial Intelligence for Sport Activity Recognition" demonstrates a pioneering application of artificial neural networks for gesture detection using the PIQ ROBOT device, with tennis as a case study. This research has garnered 7 citations and highlights his ability to integrate AI with wearable sensor technology for real-world motion analysis. Beyond sports, Sachenko’s broader contributions include advancing sensor fusion and pattern recognition methods, with his work cited over 1,000 times across multiple domains. He is recognized for developing intelligent systems that enhance accuracy in activity monitoring, and his achievements include numerous international collaborations and leadership in EU-funded projects. His research continues to inspire new approaches in smart environments and human-computer interaction.