Sergei Kislyuk

Papers

Total Citations

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About

Sergei Kislyuk is a researcher at the forefront of applying artificial intelligence to sports science and human activity recognition. His most cited work, "Artificial Intelligence for Sport Activity Recognition" (2019), introduces a novel implementation of an Artificial Neural Network for detecting and classifying sports gestures, using tennis as a primary case study. By leveraging the PIQ ROBOT device, Kislyuk demonstrates how deep learning can accurately interpret complex, real-time athletic movements, bridging the gap between wearable sensor technology and intelligent motion analysis. This foundational contribution has garnered 7 citations, establishing him as an early innovator in the niche of AI-driven sports biomechanics. His research holds significant promise for enhancing athlete performance monitoring, injury prevention, and interactive coaching systems. Kislyuk’s work exemplifies the practical application of neural networks beyond traditional domains, offering a scalable framework for gesture recognition across various sports. As the field of sports analytics continues to expand, his contributions provide a critical stepping stone for future developments in intelligent, sensor-based activity recognition.