Antonello Di Florio

According to our database, Antonello Di Florio authored at least 6 papers between 2019 and 2022.

Collaborative distances:

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

2022

Real-time Pilot Crew's Mental Workload and Arousal Assessment During Simulated Flights for Training Evaluation: a Case Study.

Gianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Antonello Di Florio, Vincenzo Ronca, Andrea Giorgi, Lorenzo Mezzadri, Renzo Gasparini, Roberto Tartaglino, Arianna Trettel, Fabio Babiloni

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

2021

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare.

Vincenzo Ronca, Andrea Giorgi, Dario Rossi, Antonello Di Florio, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Alessia Vozzi, Luca Tamborra, Ilaria Simonetti, Gianluca Borghini

Sensors, 2021

Wearable Technologies for Mental Workload, Stress, and Emotional State Assessment during Working-Like Tasks: A Comparison with Laboratory Technologies.

Andrea Giorgi, Vincenzo Ronca, Alessia Vozzi, Nicolina Sciaraffa, Antonello Di Florio, Luca Tamborra, Ilaria Simonetti, Pietro Aricò, Gianluca Di Flumeri, Dario Rossi, Gianluca Borghini

Sensors, 2021

Low-invasive Neurophysiological Evaluation of Human Emotional State on Teleworkers.

Vincenzo Ronca, Gianluca Di Flumeri, Andrea Giorgi, Alessia Vozzi, Pietro Aricò, Nicolina Sciaraffa, Luca Tamborra, Ilaria Simonetti, Antonello Di Florio, Fabio Babiloni, Gianluca Borghini

Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021

2020

Contactless Physiological Assessment of Mental Workload During Teleworking-like Task.

Vincenzo Ronca, Dario Rossi, Antonello Di Florio, Gianluca Di Flumeri, Pietro Aricò, Nicolina Sciaraffa, Alessia Vozzi, Fabio Babiloni, Gianluca Borghini

Proceedings of the Human Mental Workload: Models and Applications, 2020

2019

The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability.

Gianluca Di Flumeri, Pietro Aricò, Gianluca Borghini, Nicolina Sciaraffa, Antonello Di Florio, Fabio Babiloni

Sensors, 2019