Dottorato in Ingegneria Informatica E Dei Sistemi , 37^o ciclo (2021-2024)

Dottorato concluso nel 2025

Profilo

Argomento di ricerca

Vision-based, AI-powered approaches to motor functions characterization and rehabilitation

Interessi di ricerca

Data science, Computer vision and AI

Life sciences

Biografia

I am currently a post-doctoral researcher in Computer Engineering at the Department of Computer and Control Engineering, Politecnico di Torino, Italy. I recently received my Ph.D. in Computer and Control Engineering from Politecnico di Torino. I am working on Human Pose Estimation (HPE) using Deep Learning, and Machine Learning for the automatic assessment and monitoring of neurodegenerative diseases (e.g., Parkinson’s disease). I also develop tele-rehabiliation solutions for elderly, exploiting gamification paradigms (exergames and serious games) as Associate Researcher at the Italian National Research Council (CNR-IEIIT). Moreover, I am also interested in neurological processes underlying motor learning and brain plasticity, and the characterization of these phenomena from the viewpoint of multimodal heterogeneity studies of neuron populations.

My Ph.D. project, supervised by Prof. Gabriella Olmo, was devoted to the development and validation of a system for objective assessment and rehabilitation at home of Parkinson’s disease using RGB and RGB-Depth cameras. During this project I was also a visitng researcher at the Laboratory for Movement Biomechanics at ETH-Zurich. Previously, I received my Master’s degree (M.Sc.) in Computer Engineering at Politecnico di Torino in 2020 with the thesis ”Freezing of gait in Parkinson’s disease: automatic early recognition of episodes from patients’ inertial data”, under the supervision of Prof. Gabriella Olmo. I received my Bachelor’s degree (B.Sc.) in Computer Engineering at Politecnico di Torino in 2018.

Premi e riconoscimenti

Phd Quality Award 37esimo ciclo 2 anno (2024)
Template per il quality award relativo al terzo anno di dottorato (2025). (2025)

Didattica

Insegnamenti

Corso di laurea di 1° livello

Object oriented programming. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Object oriented programming. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Object oriented programming. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Ricerca

Gruppi di ricerca

SMILIES - reSilient coMputer archItectures and LIfE Sciences

Pubblicazioni

Pubblicazioni degli ultimi anni

Pubblicazioni per tipo

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Amprimo, Gianluca (2025)
Vision-based, AI-powered approaches to motor functions characterization and rehabilitation. relatore: OLMO, Gabriella; , 37. XXXVII Ciclo, P.: 243
Doctoral Thesis
Amprimo, G.; Masi, G.; Olmo, G.; Ferraris, C. (2024)
Deep Learning for hand tracking in Parkinson's Disease video-based assessment: Current and future perspectives. In: ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 154. ISSN 0933-3657
Contributo su Rivista
Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe; Galli, Federica; Priano, ... (2024)
Effects of Exergaming on Motor Performance in Parkinson’s Disease: A Pilot Study Using Azure Kinect. In: ForItAAL 2023, Bari (ITA), June 14-16, 2023., pp. 21-33. ISSN 2195-271X. ISBN: 9783031639128
Contributo in Atti di Convegno (Proceeding)
Amprimo, Gianluca; Masi, Giulia; Pettiti, Giuseppe; Olmo, Gabriella; Priano, Lorenzo; ... (2024)
Hand tracking for clinical applications: Validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL (ONLINE), vol. 96. ISSN 1746-8108
Contributo su Rivista
Martini, Lorenzo; Amprimo, Gianluca; Di Carlo, Stefano; Olmo, Gabriella; Ferraris, ... (2024)
Neuronal Spike Shapes (NSS): A straightforward approach to investigate heterogeneity in neuronal excitability states. In: COMPUTERS IN BIOLOGY AND MEDICINE, vol. 168, pp. 1-15. ISSN 0010-4825
Contributo su Rivista
Vismara, Luca; Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe; Buffone, ... (2024)
Exergames as a rehabilitation tool to enhance the upper limbs functionality and performance in chronic stroke survivors: a preliminary study. In: FRONTIERS IN NEUROLOGY, vol. 15. ISSN 1664-2295
Contributo su Rivista
Amprimo, Gianluca; Mei, Zhongke; Ferraris, Claudia; Olmo, Gabriella; Ravi, Deepak K (2024)
A Data-driven Exploration and Prediction of Deep Brain Stimulation Effects on Gait in Parkinson's Disease. In: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, pp. 1-13. ISSN 2168-2194
Contributo su Rivista
Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe (2023)
Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications. In: SIGNALS, vol. 4, pp. 539-574. ISSN 2624-6120
Contributo su Rivista
Masi, G.; Amprimo, G.; Priano, L.; Ferraris, C. (2023)
New Perspectives in Nonintrusive Sleep Monitoring for Neurodegenerative Diseases—A Narrative Review. In: ELECTRONICS, vol. 12. ISSN 2079-9292
Contributo su Rivista
Masi, Giulia; Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Electrodermal Activity in the Evaluation of Engagement for Telemedicine Applications. In: 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022, Atlanta (USA), 13-17 March 2023, pp. 130-135. ISBN: 978-1-6654-5381-3
Contributo in Atti di Convegno (Proceeding)
Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Objective Assessment of the Finger Tapping Task in Parkinson's Disease and Control Subjects using Azure Kinect and Machine Learning. In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila (Italia), 22-24 giugno 2023, pp. 640-645. ISBN: 979-8-3503-1224-9
Contributo in Atti di Convegno (Proceeding)
Amprimo, Gianluca; Rechichi, Irene; Ferraris, Claudia; Olmo, Gabriella (2023)
Measuring Brain Activation Patterns from Raw Single-Channel EEG during Exergaming: A Pilot Study. In: ELECTRONICS, vol. 12. ISSN 2079-9292
Contributo su Rivista
Masi, G.; Amprimo, G.; Ferraris, C.; Priano, L. (2023)
Stress and Workload Assessment in Aviation—A Narrative Review. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista
Amprimo, G.; Masi, G.; Ferraris, C.; Olmo, G.; Priano, L. (2022)
A Preliminary Comparison between Traditional and Gamified Leg Agility Assessment in Parkinsonian Subjects. In: 2022 IEEE 10th International Conference on Serious Games and Applications for Health(SeGAH), Sydney (AUS), 10-12 August 2022, pp. 1-8. ISBN: 978-1-6654-8439-8
Contributo in Atti di Convegno (Proceeding)
Ferraris, Claudia; Amprimo, Gianluca; Pettiti, Giuseppe; Masi, Giulia; Priano, Lorenzo (2022)
Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study. In: 2ND EDITION OF THE IEEE CONFERENCE ON ICT SOLUTIONS FOR EHEALTH, RODI (GR), 30 June 2022 - 03 July 2022
Contributo in Atti di Convegno (Proceeding)
Ferraris, Claudia; Amprimo, Gianluca; Masi, Giulia; Vismara, Luca; Cremascoli, Riccardo; ... (2022)
Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor. In: SENSORS, vol. 22. ISSN 1424-8220
Contributo su Rivista
Cimolin, Veronica; Vismara, Luca; Ferraris, Claudia; Amprimo, Gianluca; Pettiti, ... (2022)
Computation of Gait Parameters in Post Stroke and Parkinson’s Disease: A Comparative Study Using RGB‐D Sensors and Optoelectronic Systems. In: SENSORS, vol. 22. ISSN 1424-8220
Contributo su Rivista
Ferraris, Claudia; Pettiti, Giuseppe; Amprimo, Gianluca; Desideri, Debora; Pratola, ... (2022)
Telerehabilitation of cognitive, motor and sleep disorders in neurological pathologies: the REHOME project. In: 2ND EDITION OF THE IEEE CONFERENCE ON ICT SOLUTIONS FOR EHEALTH, Rhodes Island (GR), 30 June 2022 - 03 July 2022
Contributo in Atti di Convegno (Proceeding)

Mostra altre pubblicazioniMostra meno pubblicazioni

Gianluca Amprimo

Dottorato in Ingegneria Informatica E Dei Sistemi , 37o ciclo (2021-2024)

Tesi:

Tutori:

Presentazione della ricerca: