Daniele Lozzi

According to our database, Daniele Lozzi authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking.

Enrico Mattei, Daniele Lozzi, Alessandro Di Matteo, Alessia Cipriani, Costanzo Manes, Giuseppe Placidi

Sensors, August, 2024

Portable Head-Mounted System for Mobile Forearm Tracking.

Matteo Polsinelli, Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Lorenzo Nazzicone, Vincenzo Stornelli, Giuseppe Placidi

Sensors, April, 2024

Engineering a Digital Twin for Diagnosis and Treatment of Multiple Sclerosis.

Giordano d'Aloisio, Alessandro Di Matteo, Alessia Cipriani, Daniele Lozzi, Enrico Mattei, Gennaro Zanfardino, Antinisca Di Marco, Giuseppe Placidi

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove.

Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Sara Montagna, Matteo Polsinelli, Giuseppe Placidi

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution.

Enrico Mattei, Daniele Lozzi, Alessandro Di Matteo, Matteo Polsinelli, Costanzo Manes, Filippo Mignosi, Giuseppe Placidi

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Patient-Therapist Cooperative Hand Telerehabilitation through a Novel Framework Involving the Virtual Glove System.

Giuseppe Placidi, Alessandro Di Matteo, Daniele Lozzi, Matteo Polsinelli, Eleni Theodoridou

Sensors, April, 2023

Graph model of phase lag index for connectivity analysis in EEG of emotions.

Daniele Lozzi, Filippo Mignosi, Giuseppe Placidi, Matteo Polsinelli

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

A 4D LSTM network for emotion recognition from the cross-correlation of the power spectral density of EEG signals.

Daniele Lozzi, Filippo Mignosi, Matteo Spezialetti, Giuseppe Placidi, Matteo Polsinelli

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022