Brain-computer interface using P300: a gaming approach for neurocognitive impairment diagnosis. - Daniela De Venuto; Valerio Francesco Annese; Giovanni Mezzina; Michele Ruta; Eugenio Di Sciascio (HLDVT, 2016)

Towards mobile health care: Neurocognitive impairment monitoring by BCI-based game. - Valerio F. Annese; Giovanni Mezzina; Daniela De Venuto (IEEE SENSORS, 2016)

Towards P300-Based Mind-Control: A Non-invasive Quickly Trained BCI for Remote Car Driving. - Daniela De Venuto; Valerio F. Annese; Giovanni Mezzina (S-CUBE, 2016)

An embedded system remotely driving mechanical devices by P300 brain activity. - Daniela De Venuto; Valerio F. Annese; Giovanni Mezzina (DATE, 2017)

Gait analysis and quantitative drug effect evaluation in Parkinson disease by jointly EEG-EMG monitoring. - Daniela De Venuto; Valerio F. Annese; G. Defazio; V. L. Gallo; Giovanni Mezzina (DTIS, 2017)

Design and implementation of FPGA-based muscle conduction velocity tracker in dynamic contractions during the gait. - Daniela De Venuto; Giovanni Mezzina; V. L. Gallo (HLDVT, 2017)

Wireless Brain-Computer Interface for Wheelchair Control by Using Fast Machine Learning and Real-Time Hyper-Dimensional Classification. - Valerio F. Annese; Giovanni Mezzina; Daniela De Venuto (ICWE Workshops, 2017)

Wearable platform for automatic recognition of Parkinson Disease by muscular implication monitoring. - Valerio F. Annese; Giovanni Mezzina; V. L. Gallo; Vincenzo Scarola; Daniela De Venuto (IWASI, 2017)

Real-time muscle fiber conduction velocity tracker for diabetic neuropathy monitoring. - Giovanni Mezzina; Vito Leonardo Gallo; Daniela De Venuto (IWASI, 2017)

Neuromuscular Disorders Assessment by FPGA-Based SVM Classification of Synchronized EEG/EMG. - Daniela De Venuto; Giovanni Mezzina (ApplePies, 2018)

Automatic Perishable Goods Shelf Life Optimization in No-Refrigerated Warehouses by Using a WSN-Based Architecture. - Daniela De Venuto; Giovanni Mezzina (ApplePies, 2018)

Wireless sEMG/footswitch driven FPGA embedded digital processor for dynamic MFCV estimation. - Giovanni Mezzina; Daniela De Venuto (DTIS, 2018)

State space model-oriented design for efficiency improvement of Class E power amplifier. - Daniela De Venuto; Giovanni Mezzina (ICICDT, 2018)

User-centered ambient assisted living: Brain environment interface. - Daniela De Venuto; Giovanni Mezzina (MECO, 2018)

Real-time P300-based BCI in mechatronic control by using a multi-dimensional approach. - Daniela De Venuto; Valerio F. Annese; Giovanni Mezzina (IET Softw., 2018)

FPGA Implementation of a Single Step MFCV Estimator Based on EMG in Diabetic Neuropathy. - Daniela De Venuto; Giovanni Mezzina (J. Sensors, 2018)

Spatio-Temporal Optimization of Perishable Goods' Shelf Life by a Pro-Active WSN-Based Architecture. - Daniela De Venuto; Giovanni Mezzina (Sensors, 2018)

Automatic 3D Design for Efficiency Optimization of a Class E Power Amplifier. - Daniela De Venuto; Giovanni Mezzina; Jan M. Rabaey (IEEE Trans. Circuits Syst. II Express Briefs, 2018)

A Mobile Health System for Neurocognitive Impairment Evaluation Based on P300 Detection. - Daniela De Venuto; Valerio F. Annese; Giovanni Mezzina; Floriano Scioscia; Michele Ruta; Eugenio Di Sciascio; Alberto L. Sangiovanni-Vincentelli (ACM Trans. Cyber Phys. Syst., 2018)

Automatic Time-Frequency Analysis of MRPs for Mind-controlled Mechatronic Devices. - Daniela De Venuto; Giovanni Mezzina (DATE, 2019)

Cortical reactive balance responses to unexpected slippages while walking: a pilot study. - Giovanni Mezzina; Federica Aprigliano; Silvestro Micera; Vito Monaco; Daniela De Venuto (EMBC, 2019)

Novel Synchronous Brain Computer Interface Based on 2-D EEG Local Binary Patterning. - Daniela De Venuto; Giovanni Mezzina (IntelliSys (2), 2019)

EEG/EMG based Architecture for the Early Detection of Slip-induced Lack of Balance. - Giovanni Mezzina; Federica Aprigliano; Silvestro Micera; Vito Monaco; Daniela De Venuto (IWASI, 2019)

Local Binary Patterning Approach for Movement Related Potentials based Brain Computer Interface. - Giovanni Mezzina; Daniela De Venuto (IWASI, 2019)

Time-Frequency Linearization of Reactive Cortical Responses for the Early Detection of Balance Losses. - Giovanni Mezzina; Daniela De Venuto (J. Sensors, 2019)

Field Programmable Gate Array-Embedded Platform for Dynamic Muscle Fiber Conduction Velocity Monitoring. - Daniela De Venuto; Giovanni Mezzina (Sensors, 2019)

Brain-Actuated Pick-Up and Delivery Service for Personal Care Robots: Implementation and Case Study. - Giovanni Mezzina; Daniela De Venuto (ApplePies, 2020)

Semi-Autonomous Personal Care Robots Interface driven by EEG Signals Digitization. - Giovanni Mezzina; Daniela De Venuto (DATE, 2020)

Cortical Activity Digitization by Symbolization in Brain-Computer Interface Context. - Giovanni Mezzina; Daniela De Venuto (DTIS, 2020)

Smart Sensors HW/SW Interface based on Brain-actuated Personal Care Robot for Ambient Assisted Living. - Giovanni Mezzina; Daniela De Venuto (IEEE SENSORS, 2020)

Digital Architecture for MUAPs Propagation Speed Estimator triggered by Foot Plant Switch. - Giovanni Mezzina; Daniela De Venuto (NorCAS, 2020)

High-Specificity Digital Architecture for Real-Time Recognition of Loss of Balance Inducing Fall. - Daniela De Venuto; Giovanni Mezzina (Sensors, 2020)

Smart On-Board Surveillance Module for Safe Autonomous Train Operations. - Giovanni Mezzina; Mario Barbareschi; Salvatore De Simone; Alessandro Di Benedetto; G. Narracci; Cataldo Luciano Saragaglia; Diana Serra; Daniela De Venuto (ApplePies, 2021)

RGB and 3D-Segmentation Data Combination for the Autonomous Object Manipulation in Personal Care Robotics. - Giovanni Mezzina; Daniela De Venuto (DTIS, 2021)

Adding Object Manipulation Capabilities to Social Robots by using 3D and RGB Cameras Data. - Giovanni Mezzina; Daniela De Venuto (IEEE SENSORS, 2021)

Low-Complexity Unidimensional CNN based Brain Speller for Embedded Platforms. - Giovanni Mezzina; Daniela De Venuto (NorCAS, 2021)

Multisensing System for Parkinson's Disease Stage Assessment Based on FPGA-Embedded Serial SVM Classifier. - Daniela De Venuto; Giovanni Mezzina (IEEE Des. Test, 2021)

A Cybersecure P300-Based Brain-to-Computer Interface against Noise-Based and Fake P300 Cyberattacks. - Giovanni Mezzina; Valerio F. Annese; Daniela De Venuto (Sensors, 2021)

A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs. - Daniela De Venuto; Giovanni Mezzina (Sensors, 2021)

Model-Based Vital Control Architecture for Highly Automated Train Operations. - Giovanni Mezzina; Cataldo Luciano Saragaglia; Mario Barbareschi; Diana Serra; Salvatore De Simone; Alberto Moriconi; Daniela De Venuto (ApplePies, 2022)

Automatic Accuracy versus Complexity Characterization for Embedded Emotion-Sensing Platforms in Healthcare Applications. - Giovanni Mezzina; Daniela De Venuto (COMPSAC, 2022)

AI for Food Waste Reduction in Smart Homes. - Giovanni Mezzina; Dionisio Ciccarese; Daniela De Venuto (ICWE Workshops, 2022)

A Digital Architecture for the Real-Time Tracking of Wearing off Phenomenon in Parkinson's Disease. - Giovanni Mezzina; Daniela De Venuto (Sensors, 2022)

A Step Toward Safe Unattended Train Operations: A Pioneer Vital Control Module. - Giovanni Mezzina; Arturo Amendola; Mario Barbareschi; Salvatore De Simone; Grazia Mascellaro; Alberto Moriconi; Cataldo Luciano Saragaglia; Diana Serra; Daniela De Venuto (DATE, 2023)

Live Demonstration: A Dry electrode-based Brain Computer Interface for P300-based Car Driving. - Giovanni Mezzina; Alberto Fakhri Brunetti; Dionisio Ciccarese; Grazia Mascellaro; Cataldo Luciano Saragaglia; Daniela De Venuto (ISCAS, 2023)

Automatic tool for real-time estimation of QFN-related heat transfer in multi-layer PCB by using SPICE simulations. - Giovanni Mezzina; Alberto Fakhri Brunetti; Cataldo Luciano Saragaglia; Gianvito Matarrese; Daniela De Venuto (IWASI, 2023)

Near-Brain Computation: Embedding P300-based BCIs at EEG headset level. - Giovanni Mezzina; Martin Walchshofer; Christoph Guger; Daniela De Venuto (IWASI, 2023)

Wearable and Flexible Fibrosis Cystic Tag with Potentiometric Chloride Activity Sensing. - Daniela De Venuto; Giovanni Mezzina; Angelo Tricase; Paolo Bollella; Grazia Mascellaro; Luisa Torsi (IWASI, 2023)

An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living. - Giovanni Mezzina; Daniela De Venuto (Sensors, 2023)

A real-time vital control module to increase capabilities of railway control systems in highly automated train operations. - Arturo Amendola; Mario Barbareschi; Salvatore De Simone; Giovanni Mezzina; Alberto Moriconi; Cataldo Luciano Saragaglia; Diana Serra; Daniela De Venuto (Real Time Syst., 2023)