Michele Boldo

According to our database, Michele Boldo authored at least 21 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Collision prediction using plan learning in mixed human-robot work cells.

Luca Geretti, Stefano Centomo, Michele Boldo, Enrico Martini, Nicola Bombieri, Davide Quaglia, Tiziano Villa

Robotics Auton. Syst., 2026

A markerless platform for automatic assessment of gait based on Human Pose Estimation: A proof of concept.

Michele Boldo, Roberto Di Marco, Stefano Aldegheri, Enrico Martini, Michela Cosma, Alessio Baricich, Giulio Gasperini, Alessandro Picelli, Nicola Smania, Nicola Bombieri

Biomed. Signal Process. Control., 2026

2025

Green telemedicine: energy efficient healthcare monitoring.

Michele Boldo

PhD thesis, 2025

A Deep Learning-Based Emotion Recognition Pipeline for Public Speaking Anxiety Detection in Social Robotics.

Michele Boldo, Delara Forghani, Nicola Bombieri, Kerstin Dautenhahn, Chrystopher L. Nehaniv

Proceedings of the 34th IEEE International Conference on Robot and Human Interactive Communication, 2025

2024

Domain-Adaptive Online Active Learning for Real-Time Intelligent Video Analytics on Edge Devices.

Michele Boldo, Mirco De Marchi, Enrico Martini, Stefano Aldegheri, Nicola Bombieri

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2024

FLK: A filter with learned kinematics for real-time 3D human pose estimation.

Enrico Martini, Michele Boldo, Nicola Bombieri

Signal Process., 2024

Real-time multi-camera 3D human pose estimation at the edge for industrial applications.

Michele Boldo, Mirco De Marchi, Enrico Martini, Stefano Aldegheri, Davide Quaglia, Franco Fummi, Nicola Bombieri

Expert Syst. Appl., 2024

On the reliability of single-camera markerless systems for overground gait monitoring.

Michele Boldo, Roberto Di Marco, Enrico Martini, Mauro Nardon, Matteo Bertucco, Nicola Bombieri

Comput. Biol. Medicine, 2024

Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study.

Federico Cunico, Stefano Aldegheri, Andrea Avogaro, Michele Boldo, Nicola Bombieri, Luigi Capogrosso, Ariel Caputo, Damiano Carra, Stefano Centomo, Dong Seon Cheng, Ettore Cinquetti, Marco Cristani, Mirco De Marchi, Florenc Demrozi, Marco Emporio, Franco Fummi, Luca Geretti, Samuele Germiniani, Andrea Giachetti, Federico Girella, Enrico Martini, Gloria Menegaz, Niek Muijs, Federica Paci, Marco Panato, Graziano Pravadelli, Elisa Quintarelli, Ilaria Siviero, Silvia Francesca Storti, Carlo Tadiello, Cristian Turetta, Tiziano Villa, Nicola Zannone, Davide Quaglia

IEEE Access, 2024

A Verification Platform for Human Pose Estimation Models.

Stefano Aldegheri, Michele Boldo, Chiara Bozzini, Mirco De Marchi, Roberto Di Marco, Enrico Martini, Nicola Bombieri

Proceedings of the 25th IEEE Latin American Test Symposium, 2024

A Real-time Filter for Human Pose Estimation based on Denoising Diffusion Models for Edge Devices.

Chiara Bozzini, Michele Boldo, Enrico Martini, Nicola Bombieri

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Late Breaking Results: A real-time diffusion-based filter for human pose estimation on edge devices.

Chiara Bozzini, Michele Boldo, Enrico Martini, Nicola Bombieri

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

On the Query Strategies for Efficient Online Active Distillation.

Michele Boldo, Enrico Martini, Mirco De Marchi, Stefano Aldegheri, Nicola Bombieri

CoRR, 2023

A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine.

Michele Boldo, Damiano Carra, Davide Quaglia, Nicola Bombieri

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022

Enabling Gait Analysis in the Telemedicine Practice through Portable and Accurate 3D Human Pose Estimation.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Comput. Methods Programs Biomed., 2022

Risk Assessment and Prediction in Human-Robot Interaction Through Assertion Mining and Pose Estimation.

Michele Boldo, Nicola Bombieri, Mirco De Marchi, Luca Geretti, Samuele Germiniani, Graziano Pravadelli

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022

Integrating Wearable and Camera Based Monitoring in the Digital Twin for Safety Assessment in the Industry 4.0 Era.

Michele Boldo, Nicola Bombieri, Stefano Centomo, Mirco De Marchi, Florenc Demrozi, Graziano Pravadelli, Davide Quaglia, Cristian Turetta

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Practice, 2022

On the Pose Estimation Software for Measuring Movement Features in the Finger-to-Nose Test.

Enrico Martini, Nicola Valè, Michele Boldo, Anna Righetti, Nicola Smania, Nicola Bombieri

Proceedings of the IEEE International Conference on Digital Health, 2022

Process-driven Collision Prediction in Human-Robot Work Environments.

Luca Geretti, Stefano Centomo, Michele Boldo, Enrico Martini, Nicola Bombieri, Davide Quaglia, Tiziano Villa

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Preserving Data Privacy and Accuracy of Human Pose Estimation Software Based on CNN s for Remote Gait Analysis.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Real-time Human Pose Estimation at the Edge for Gait Analysis at a Distance.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Mirco De Marchi, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022