Gianluca Amprimo

Orcid: 0000-0003-4061-8211

According to our database1, Gianluca Amprimo authored at least 19 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

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
Stress and Workload Assessment in Aviation - A Narrative Review.
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


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