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ORCIDGiovanni Mezzina
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2020 – today
- 2023
[j14]Arturo Amendola, Mario Barbareschi, Salvatore De Simone, Giovanni Mezzina
, Alberto Moriconi, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
A real-time vital control module to increase capabilities of railway control systems in highly automated train operations. Real Time Syst. 59(4): 636-661 (2023)- [j13]Giovanni Mezzina, Daniela De Venuto:
An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living. Sensors 23(1): 103 (2023) - [c36]Giovanni Mezzina, Arturo Amendola, Mario Barbareschi, Salvatore De Simone, Grazia Mascellaro, Alberto Moriconi, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
A Step Toward Safe Unattended Train Operations: A Pioneer Vital Control Module. DATE 2023: 1-4 - [c35]Giovanni Mezzina, Alberto Fakhri Brunetti, Dionisio Ciccarese, Grazia Mascellaro, Cataldo Luciano Saragaglia, Daniela De Venuto:
Live Demonstration: A Dry electrode-based Brain Computer Interface for P300-based Car Driving. ISCAS 2023: 1 - [c34]Daniela De Venuto, Giovanni Mezzina, Angelo Tricase, Paolo Bollella, Grazia Mascellaro, Luisa Torsi:
Wearable and Flexible Fibrosis Cystic Tag with Potentiometric Chloride Activity Sensing. IWASI 2023: 115-120 - [c33]Giovanni Mezzina, Alberto Fakhri Brunetti, Cataldo Luciano Saragaglia, Gianvito Matarrese, Daniela De Venuto:
Automatic tool for real-time estimation of QFN-related heat transfer in multi-layer PCB by using SPICE simulations. IWASI 2023: 177-182 - [c32]Giovanni Mezzina, Martin Walchshofer, Christoph Guger, Daniela De Venuto:
Near-Brain Computation: Embedding P300-based BCIs at EEG headset level. IWASI 2023: 319-324 - 2022
- [j12]Giovanni Mezzina, Daniela De Venuto:
A Digital Architecture for the Real-Time Tracking of Wearing off Phenomenon in Parkinson's Disease. Sensors 22(24): 9753 (2022) - [c31]Giovanni Mezzina, Cataldo Luciano Saragaglia, Mario Barbareschi, Diana Serra, Salvatore De Simone, Alberto Moriconi, Daniela De Venuto:
Model-Based Vital Control Architecture for Highly Automated Train Operations. ApplePies 2022: 163-170 - [c30]Giovanni Mezzina, Daniela De Venuto:
Automatic Accuracy versus Complexity Characterization for Embedded Emotion-Sensing Platforms in Healthcare Applications. COMPSAC 2022: 676-683 - [c29]Giovanni Mezzina, Dionisio Ciccarese, Daniela De Venuto:
AI for Food Waste Reduction in Smart Homes. ICWE Workshops 2022: 87-99 - 2021
- [j11]Daniela De Venuto, Giovanni Mezzina:
Multisensing System for Parkinson's Disease Stage Assessment Based on FPGA-Embedded Serial SVM Classifier. IEEE Des. Test 38(4): 44-51 (2021) - [j10]Daniela De Venuto, Giovanni Mezzina:
A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs. Sensors 21(12): 3961 (2021) - [j9]Giovanni Mezzina, Valerio F. Annese, Daniela De Venuto:
A Cybersecure P300-Based Brain-to-Computer Interface against Noise-Based and Fake P300 Cyberattacks. Sensors 21(24): 8280 (2021) - [c28]Giovanni Mezzina, Mario Barbareschi, Salvatore De Simone, Alessandro Di Benedetto, G. Narracci, Cataldo Luciano Saragaglia, Diana Serra, Daniela De Venuto:
Smart On-Board Surveillance Module for Safe Autonomous Train Operations. ApplePies 2021: 317-325 - [c27]Giovanni Mezzina, Daniela De Venuto:
RGB and 3D-Segmentation Data Combination for the Autonomous Object Manipulation in Personal Care Robotics. DTIS 2021: 1-6 - [c26]Giovanni Mezzina, Daniela De Venuto:
Adding Object Manipulation Capabilities to Social Robots by using 3D and RGB Cameras Data. IEEE SENSORS 2021: 1-4 - [c25]Giovanni Mezzina, Daniela De Venuto:
Low-Complexity Unidimensional CNN based Brain Speller for Embedded Platforms. NorCAS 2021: 1-6 - 2020
- [j8]Daniela De Venuto, Giovanni Mezzina:
High-Specificity Digital Architecture for Real-Time Recognition of Loss of Balance Inducing Fall. Sensors 20(3): 769 (2020) - [c24]Giovanni Mezzina, Daniela De Venuto:
Brain-Actuated Pick-Up and Delivery Service for Personal Care Robots: Implementation and Case Study. ApplePies 2020: 111-121 - [c23]Giovanni Mezzina, Daniela De Venuto:
Semi-Autonomous Personal Care Robots Interface driven by EEG Signals Digitization. DATE 2020: 264-269 - [c22]Giovanni Mezzina, Daniela De Venuto:
Cortical Activity Digitization by Symbolization in Brain-Computer Interface Context. DTIS 2020: 1-6 - [c21]Giovanni Mezzina, Daniela De Venuto:
Smart Sensors HW/SW Interface based on Brain-actuated Personal Care Robot for Ambient Assisted Living. IEEE SENSORS 2020: 1-4 - [c20]Giovanni Mezzina, Daniela De Venuto:
Digital Architecture for MUAPs Propagation Speed Estimator triggered by Foot Plant Switch. NorCAS 2020: 1-7
2010 – 2019
- 2019
- [j7]Giovanni Mezzina, Daniela De Venuto:
Time-Frequency Linearization of Reactive Cortical Responses for the Early Detection of Balance Losses. J. Sensors 2019: 9570748:1-9570748:14 (2019) - [j6]Daniela De Venuto, Giovanni Mezzina:
Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring. Sensors 19(20): 4594 (2019) - [c19]Daniela De Venuto, Giovanni Mezzina:
Automatic Time-Frequency Analysis of MRPs for Mind-controlled Mechatronic Devices. DATE 2019: 758-763 - [c18]Giovanni Mezzina, Federica Aprigliano, Silvestro Micera, Vito Monaco, Daniela De Venuto:
Cortical reactive balance responses to unexpected slippages while walking: a pilot study. EMBC 2019: 6868-6871 - [c17]Daniela De Venuto, Giovanni Mezzina:
Novel Synchronous Brain Computer Interface Based on 2-D EEG Local Binary Patterning. IntelliSys (2) 2019: 192-210 - [c16]Giovanni Mezzina, Federica Aprigliano, Silvestro Micera, Vito Monaco, Daniela De Venuto:
EEG/EMG based Architecture for the Early Detection of Slip-induced Lack of Balance. IWASI 2019: 9-14 - [c15]Giovanni Mezzina, Daniela De Venuto:
Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface. IWASI 2019: 239-244 - 2018
- [j5]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
Real-time P300-based BCI in mechatronic control by using a multi-dimensional approach. IET Softw. 12(5): 418-424 (2018) - [j4]Daniela De Venuto, Giovanni Mezzina:
FPGA Implementation of a Single Step MFCV Estimator Based on EMG in Diabetic Neuropathy. J. Sensors 2018: 1584068:1-1584068:10 (2018) - [j3]Daniela De Venuto, Giovanni Mezzina:
Spatio-Temporal Optimization of Perishable Goods' Shelf Life by a Pro-Active WSN-Based Architecture. Sensors 18(7): 2126 (2018) - [j2]Daniela De Venuto, Giovanni Mezzina, Jan M. Rabaey:
Automatic 3D Design for Efficiency Optimization of a Class E Power Amplifier. IEEE Trans. Circuits Syst. II Express Briefs 65-II(2): 201-205 (2018) - [j1]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina, Floriano Scioscia, Michele Ruta, Eugenio Di Sciascio, Alberto L. Sangiovanni-Vincentelli:
A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. ACM Trans. Cyber Phys. Syst. 2(4): 31:1-31:21 (2018) - [c14]Daniela De Venuto, Giovanni Mezzina:
Neuromuscular Disorders Assessment by FPGA-Based SVM Classification of Synchronized EEG/EMG. ApplePies 2018: 37-44 - [c13]Daniela De Venuto, Giovanni Mezzina:
Automatic Perishable Goods Shelf Life Optimization in No-Refrigerated Warehouses by Using a WSN-Based Architecture. ApplePies 2018: 287-294 - [c12]Giovanni Mezzina, Daniela De Venuto:
Wireless sEMG/footswitch driven FPGA embedded digital processor for dynamic MFCV estimation. DTIS 2018: 1-2 - [c11]Daniela De Venuto, Giovanni Mezzina:
State space model-oriented design for efficiency improvement of Class E power amplifier. ICICDT 2018: 65-68 - [c10]Daniela De Venuto, Giovanni Mezzina:
User-centered ambient assisted living: Brain environment interface. MECO 2018: 1-4 - 2017
- [c9]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
An embedded system remotely driving mechanical devices by P300 brain activity. DATE 2017: 1014-1019 - [c8]Daniela De Venuto, Valerio F. Annese, G. Defazio, V. L. Gallo, Giovanni Mezzina:
Gait analysis and quantitative drug effect evaluation in Parkinson disease by jointly EEG-EMG monitoring. DTIS 2017: 1-6 - [c7]Daniela De Venuto, Giovanni Mezzina, V. L. Gallo:
Design and implementation of FPGA-based muscle conduction velocity tracker in dynamic contractions during the gait. HLDVT 2017: 82-86 - [c6]Valerio F. Annese, Giovanni Mezzina, Daniela De Venuto:
Wireless Brain-Computer Interface for Wheelchair Control by Using Fast Machine Learning and Real-Time Hyper-Dimensional Classification. ICWE Workshops 2017: 61-74 - [c5]Giovanni Mezzina, Vito Leonardo Gallo, Daniela De Venuto:
Real-time muscle fiber conduction velocity tracker for diabetic neuropathy monitoring. IWASI 2017: 127-132 - [c4]Valerio F. Annese, Giovanni Mezzina, V. L. Gallo, Vincenzo Scarola, Daniela De Venuto:
Wearable platform for automatic recognition of Parkinson Disease by muscular implication monitoring. IWASI 2017: 150-154 - 2016
- [c3]Daniela De Venuto, Valerio Francesco Annese, Giovanni Mezzina, Michele Ruta, Eugenio Di Sciascio:
Brain-computer interface using P300: a gaming approach for neurocognitive impairment diagnosis. HLDVT 2016: 93-99 - [c2]Valerio F. Annese, Giovanni Mezzina, Daniela De Venuto:
Towards mobile health care: Neurocognitive impairment monitoring by BCI-based game. IEEE SENSORS 2016: 1-3 - [c1]Daniela De Venuto, Valerio F. Annese, Giovanni Mezzina:
Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving. S-CUBE 2016: 15-28
Coauthor Index
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