Gianluca Amprimo

Bachelor of Science

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

• SMILIES - reSilient coMputer archItectures and LIfE Sciences (DAUIN)

• Amprimo, Gianluca (2025)
  Vision-based, AI-powered approaches to motor functions characterization and rehabilitation. relatore: OLMO, Gabriella; , 37. XXXVII Ciclo, P.: 243
  Doctoral Thesis
• 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
• 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; 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
• 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
• 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
• 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.; Ferraris, C.; Priano, L. (2023)
  Stress and Workload Assessment in Aviation—A Narrative Review. In: SENSORS, vol. 23. ISSN 1424-8220
  Contributo su Rivista
• Ferraris, C.; Ronga, I.; Pratola, R.; Coppo, G.; Bosso, T.; Falco, S.; Amprimo, G.; ... (2022)
  Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms. In: SENSORS, vol. 22. ISSN 1424-8220
  Contributo su Rivista
• Amprimo, G.; Masi, G.; Priano, L.; Azzaro, C.; Galli, F.; Pettiti, G.; Mauro, A.; ... (2022)
  Assessment Tasks and Virtual Exergames for Remote Monitoring of Parkinson’s Disease: An Integrated Approach Based on Azure Kinect. In: SENSORS, vol. 22. ISSN 1424-8220
  Contributo su Rivista