[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives

G Amprimo, G Masi, G Olmo, C Ferraris - Artificial Intelligence in Medicine, 2024 - Elsevier
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …

Computer vision and image processing in structural health monitoring: Overview of recent applications

C Ferraris, G Amprimo, G Pettiti - Signals, 2023 - mdpi.com
Structural deterioration is a primary long-term concern resulting from material wear and tear,
events, solicitations, and disasters that can progressively compromise the integrity of a …

[HTML][HTML] Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks

G Amprimo, G Masi, G Pettiti, G Olmo, L Priano… - … Signal Processing and …, 2024 - Elsevier
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …

[HTML][HTML] Assessment tasks and virtual exergames for remote monitoring of Parkinson's disease: An integrated approach based on Azure Kinect

G Amprimo, G Masi, L Priano, C Azzaro, F Galli… - Sensors, 2022 - mdpi.com
Motor impairments are among the most relevant, evident, and disabling symptoms of
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …

[HTML][HTML] Usability of the REHOME solution for the telerehabilitation in neurological diseases: Preliminary results on motor and cognitive platforms

C Ferraris, I Ronga, R Pratola, G Coppo, T Bosso… - Sensors, 2022 - mdpi.com
The progressive aging of the population and the consequent growth of individuals with
neurological diseases and related chronic disabilities, will lead to a general increase in the …

[HTML][HTML] Recognition of Gras** Patterns Using Deep Learning for Human–Robot Collaboration

P Amaral, F Silva, V Santos - Sensors, 2023 - mdpi.com
Recent advances in the field of collaborative robotics aim to endow industrial robots with
prediction and anticipation abilities. In many shared tasks, the robot's ability to accurately …

Measuring brain activation patterns from raw single-channel eeg during exergaming: A pilot study

G Amprimo, I Rechichi, C Ferraris, G Olmo - Electronics, 2023 - mdpi.com
Physical and cognitive rehabilitation is deemed crucial to attenuate symptoms and to
improve the quality of life in people with neurodegenerative disorders, such as Parkinson's …

Objective assessment of the finger tap** task in parkinson's disease and control subjects using azure kinect and machine learning

G Amprimo, I Rechichi, C Ferraris… - 2023 IEEE 36th …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is characterised by a progressive worsening of motor
functionalities. In particular, limited hand dexterity strongly correlates with PD diagnosis and …

Towards comparable quality-assured Azure Kinect body tracking results in a study setting—Influence of light

L Büker, M Hackbarth, V Quinten, A Hein, S Hellmers - Plos one, 2024 - journals.plos.org
Quality assurance in research helps to ensure reliability and comparable results within a
study. This includes reliable measurement equipment and data-processing. The Azure …

Quantifying similarities between MediaPipe and a known standard for tracking 2D hand trajectories

VP Wagh, MW Scott, SN Kraeutner - bioRxiv, 2023 - biorxiv.org
Marker-less motion tracking methods have promise for use in a range of domains, including
clinical settings where traditional marker-based systems for human pose estimation is not …