POGLIANO, MARCO

POGLIANO, MARCO  

Dipartimento di Elettronica e Telecomunicazioni  

097625  

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Citazione Data di pubblicazione Autori File
Predicting Operator Workload from Oculometric Data in High-Demand Environments: A Case Study with MATB-II / Pogliano, M., Colavincenzo, M., Martorana, S., Guglieri, G., Demarchi, D.. - 199:(2025). (AHFE Hawaii International Conference Honolulu (USA) December 1-3, 2026) [10.54941/ahfe1006885]. 1-gen-2025 Pogliano, MarcoGuglieri, GiorgioDemarchi, Danilo + Publicated_version.pdf
Unveiling Mental Workload via PPG: Morphological and Respiratory Feature–Driven Machine Learning Classification / Pogliano, M., Luzzani, G., Sanginario, A., Guglieri, G., Demarchi, D.. - (2025), pp. 1-4. (2025 IEEE SENSORS Vancouver (Can) 19-22 October 2025) [10.1109/sensors59705.2025.11330629]. 1-gen-2025 Pogliano, MarcoLuzzani, GabrieleSanginario, AlessandroGuglieri, GiorgioDemarchi, Danilo Published_version.pdf
3D-Printer-Based Test-Bench for Contactless Respiratory Monitoring Systems / Pogliano, M., Buraioli, I., Sanginario, A., Demarchi, D., Ros, P.M.. - ELETTRONICO. - (2023), pp. -4. (IEEE Sensors conference 2023 Vienna (Austria) 29 October 2023 - 01 November 2023) [10.1109/SENSORS56945.2023.10325213]. 1-gen-2023 Pogliano, MarcoBuraioli, IreneSanginario, AlessandroDemarchi, DaniloRos, Paolo Motto 3D-Printer-Based Test-Bench for Contactless Respiratory Monitoring Systems __ IEEE SENSORS 2023.pdfIEEE 3D-Printer-Based Test-Bench for Contactless Respiratory Monitoring Systems.pdf