Papers

4

Total Citations

52

H-Index

3

About

Alina Glushkova is a leading researcher at the intersection of human-centered artificial intelligence, motion analysis, and Industry 4.0. Her work focuses on making AI systems not only capable of understanding complex human movements but also transparent and explainable. Glushkova’s key contributions include developing novel methods for representing multivariate time series data to recognize professional gestures and forecast their trajectories—work that has direct applications in collaborative robotics and skill augmentation. She also spearheaded the creation of a motion capture benchmark for real industrial tasks and traditional crafts, providing a much-needed standardized ground truth for evaluating human movement analysis algorithms. Her comprehensive approach to explainable AI in human motion addresses critical scientific challenges in modeling and generating human movement for human-robot interaction and clinical diagnosis. With her most cited paper (20 citations) laying the groundwork for gesture recognition in industrial settings, and her 2024 work on explainable AI already garnering 14 citations, Glushkova is establishing herself as a key voice in making AI-driven motion analysis both robust and interpretable for real-world deployment.

Research Focus

Key Achievements

3
H-Index
4
Papers
52
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Human Movement Representation on Multivariate Time Series for Recognition of Professional Gestures and Forecasting Their Trajectories
20 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: ParisTech, Hôpital Saint-Michel, Université Paris Sciences et Lettres

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago