Special Issues
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Advances in Computational Approaches to Action and Movement Analysis

Submission Deadline: 31 January 2026 View: 405 Submit to Special Issue

Guest Editors

Prof. Dr. Vitor Filipe

Email: vfilipe@utad.pt

Affiliation: 1. Department of Engineering, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal 

2. INESC TEC – Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal

Homepage:

Research Interests: computer vision and machine learning

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Prof. Dr. Hugo Paredes

Email: hparedes@utad.pt

Affiliation: 1. Department of Engineering, School of Science and Technology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal 

2. Center for Human-Centered Computing and Information Science (HumanISE), Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal

Homepage:

Research Interests: human-centered artificial intelligence

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Summary

The study of human movement has long been a fundamental area of research across multiple disciplines, with high impact in fields such as healthcare, sports, robotics, and artificial intelligence. With recent advancements in sensor technology, artificial intelligence, and computational modeling, new approaches for precise and efficient movement analysis can be explored by researchers to detect, recognize and interpret motion dynamics and action in a variety of scenarios. These innovations enable breakthroughs in real-time motion tracking, predictive modeling, and automated recognition of complex movement behaviors.


This Special Issue seeks to bring together researchers from diverse backgrounds to share new knowledge, insights, methodologies, and applications that drive the field forward. Researchers and academics are invited to submit original research papers, review articles, and case studies on, but not limited to, the following topics:
· Machine learning and deep learning approaches for movement analysis
· Gesture recognition for human-computer interaction
· Robotics and assistive technologies for movement assessment
· Human action recognition and behavior understanding
· Applications of movement analysis in healthcare and ergonomics
· Movement analysis in sports science and performance enhancement
· Gait analysis and rehabilitation applications
· Biomechanical modeling and simulation


Keywords

Movement Analysis, Gesture Recognition, Human Motion, Human Activity Recognition, Posture Recognition

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