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[HTML][HTML] Deep learning for hand tracking in Parkinson's disease video-based assessment: Current and future perspectives
Abstract Background: Parkinson's Disease (PD) demands early diagnosis and frequent
assessment of symptoms. In particular, analysing hand movements is pivotal to understand …
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
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 …
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
Accurate 3D tracking of hand and fingers movements poses significant challenges in
computer vision. The potential applications span across multiple domains, including human …
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
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 …
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
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 …
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
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 …
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
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 …
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
Parkinson's disease (PD) is characterised by a progressive worsening of motor
functionalities. In particular, limited hand dexterity strongly correlates with PD diagnosis and …
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
Quality assurance in research helps to ensure reliability and comparable results within a
study. This includes reliable measurement equipment and data-processing. The Azure …
study. This includes reliable measurement equipment and data-processing. The Azure …
Quantifying similarities between MediaPipe and a known standard for tracking 2D hand trajectories
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 …
clinical settings where traditional marker-based systems for human pose estimation is not …