Andrei Sheleh

Papers

Total Citations

H-Index

About

Andrei Sheleh is a researcher at the intersection of artificial intelligence and sports science, with a primary focus on human activity recognition and gesture detection. His most cited work, "Artificial Intelligence for Sport Activity Recognition" (2019, 7 citations), introduces a novel application of Artificial Neural Networks for recognizing sports gestures, using tennis as a case study. The paper demonstrates how the PIQ ROBOT device can be leveraged to capture and classify athletic movements, showcasing the practical integration of AI into sports analytics. This contribution is notable for bridging the gap between machine learning and real-world physical activity monitoring, offering a foundation for developing intelligent coaching tools and performance tracking systems. Sheleh's work highlights the growing potential of neural network approaches in sport science, particularly for fine-grained gesture recognition. While his citation count reflects the emerging nature of this field, his research represents a meaningful step toward automated, AI-driven sports training and analysis, positioning him as a contributor to the evolving landscape of intelligent activity recognition.