Alessandro Di Matteo

Orcid: 0009-0004-8163-5186

According to our database1, Alessandro Di Matteo authored at least 12 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking.
Sensors, August, 2024

Portable Head-Mounted System for Mobile Forearm Tracking.
Sensors, April, 2024

Engineering a Digital Twin for Diagnosis and Treatment of Multiple Sclerosis.
Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

Proactive Hand Rehabilitation Through a Double Digital Twin Provided by the Virtual Glove.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

ASIS: A Smart Alarm Clock Based on Deep Learning for the Safety of Night Workers.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2024

A CycleGAN Model to Synthesize Missing and Unpaired MRI Sequences for Under-Represented Multiple Sclerosis Lesions.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Calibration of the Double Digital Twin for the Hand Rehabilitation by the Virtual Glove.
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.
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.
Sensors, April, 2023

Materials and techniques for effective at-home rehabilitation for hand mobility restoration based on the Virtual Glove.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
DIORAMA: Digital twIn fOR sustAinable territorial MAnagement.
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Compact, Accurate and Low-cost Hand Tracking System based on LEAP Motion Controllers and Raspberry Pi.
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022


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