7 papers
GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation
Elisa Motta, Marta Lorenzini, Clara Mouawad +3
Gait analysis provides an objective characterization of locomotor function and is widely used to support diagnosis and rehabilitation monitoring across neurological and orthopedic…
Estimating Trust in Human-Robot Collaboration through Behavioral Indicators and Explainability
Giulio Campagna, Marta Lagomarsino, Marta Lorenzini +3
Industry 5.0 focuses on human-centric collaboration between humans and robots, prioritizing safety, comfort, and trust. This study introduces a data-driven framework to assess trus…
Lightweight Facial Landmark Detection in Thermal Images via Multi-Level Cross-Modal Knowledge Transfer
Qiyi Tong, Olivia Nocentini, Marta Lagomarsino +3
Facial Landmark Detection (FLD) in thermal imagery is critical for applications in challenging lighting conditions, but it is hampered by the lack of rich visual cues. Conventional…
Physics-Informed Learning for Human Whole-Body Kinematics Prediction via Sparse IMUs
Cheng Guo, Giuseppe L'Erario, Giulio Romualdi +4
Accurate and physically feasible human motion prediction is crucial for safe and seamless human-robot collaboration. While recent advancements in human motion capture enable real-t…
Anticipatory Fall Detection in Humans with Hybrid Directed Graph Neural Networks and Long Short-Term Memory
Younggeol Cho, Gokhan Solak, Olivia Nocentini +3
Detecting and preventing falls in humans is a critical component of assistive robotic systems. While significant progress has been made in detecting falls, the prediction of falls…
Graph-based Online Monitoring of Train Driver States via Facial and Skeletal Features
Olivia Nocentini, Marta Lagomarsino, Gokhan Solak +4
Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks. This study presents a…