Gianluca Amprimo
Orcid: 0000-0003-4061-8211
According to our database1,
Gianluca Amprimo
authored at least 19 papers
between 2021 and 2024.
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Bibliography
2024
Correction: Masi et al. Stress and Workload Assessment in Aviation - A Narrative Review. Sensors 2023, 23, 3556.
Sensors, January, 2024
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states.
Comput. Biol. Medicine, January, 2024
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks.
Biomed. Signal Process. Control., 2024
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives.
Artif. Intell. Medicine, 2024
2023
Sensors, April, 2023
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Enhancing upper limb mobility through gamified tasks and azure kinect: a preliminary study in post-stroke subjects.
Proceedings of the 4th Italian Workshop on Artificial Intelligence for an Ageing Society co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023
2022
Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms.
Sensors, 2022
Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson's Disease Using the Azure Kinect Sensor.
Sensors, 2022
Computation of Gait Parameters in Post Stroke and Parkinson's Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems.
Sensors, 2022
Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review.
Sensors, 2022
Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson's Disease: An Integrated Approach Based on Azure Kinect.
Sensors, 2022
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects.
Proceedings of the 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), 2022
Telerehabilitation of cognitive, motor and sleep disorders in neurological pathologies: the REHOME project.
Proceedings of the IEEE Symposium on Computers and Communications, 2022
Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study.
Proceedings of the IEEE Symposium on Computers and Communications, 2022
GMH-D: Combining Google MediaPipe and RGB-Depth Cameras for Hand Motor Skills Remote Assessment.
Proceedings of the IEEE International Conference on Digital Health, 2022
2021
Monitoring of Gait Parameters in Post-Stroke Individuals: A Feasibility Study Using RGB-D Sensors.
Sensors, 2021
Kinect-based Solution for the Home Monitoring of Gait and Balance in Elderly People with and without Neurological Diseases.
Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2021 co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021