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Three-dimensional cameras and skeleton pose tracking for physical function assessment: A review of uses, validity, current developments and Kinect alternatives
Background Three-dimensional camera systems that integrate depth assessment with
traditional two-dimensional images, such as the Microsoft Kinect, Intel Realsense …
traditional two-dimensional images, such as the Microsoft Kinect, Intel Realsense …
Biomechanical assessments of the upper limb for determining fatigue, strain and effort from the laboratory to the industrial working place: a systematic review
Recent human-centered developments in the industrial field (Industry 5.0) lead companies
and stakeholders to ensure the wellbeing of their workers with assessments of upper limb …
and stakeholders to ensure the wellbeing of their workers with assessments of upper limb …
Abnormal infant movements classification with deep learning on pose-based features
The pursuit of early diagnosis of cerebral palsy has been an active research area with some
very promising results using tools such as the General Movements Assessment (GMA). In …
very promising results using tools such as the General Movements Assessment (GMA). In …
Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis
Human motion tracking is a valuable task for many medical applications. Marker-based
optoelectronic systems are considered the gold standard in human motion tracking …
optoelectronic systems are considered the gold standard in human motion tracking …
[HTML][HTML] A comprehensive analysis of the validity and reliability of the perception neuron studio for upper-body motion capture
The Perception Neuron Studio (PNS) is a cost-effective and widely used inertial motion
capture system. However, a comprehensive analysis of its upper-body motion capture …
capture system. However, a comprehensive analysis of its upper-body motion capture …
Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system
Introduction Recent advances in Artificial Intelligence (AI) and Computer Vision (CV) have
led to automated pose estimation algorithms using simple 2D videos. This has created the …
led to automated pose estimation algorithms using simple 2D videos. This has created the …
Motion-based prediction of external forces and moments and back loading during manual material handling tasks
This paper evaluates a method for motion-based prediction of external forces and moments
on manual material handling (MMH) tasks. From a set of hypothesized contact points …
on manual material handling (MMH) tasks. From a set of hypothesized contact points …
Marker-less versus marker-based driven musculoskeletal models of the spine during static load-handling activities
F Asadi, N Arjmand - Journal of biomechanics, 2020 - Elsevier
Abstract Evaluation of workers' body posture in workstations is a prerequisite to estimate
spinal loads and assess risk of injury for the subsequent design of preventive interventions …
spinal loads and assess risk of injury for the subsequent design of preventive interventions …
Dynamic assessment of spine movement patterns using an RGB-D camera and deep learning
J Wenghofer, KHE Beange, WC Ramos Jr… - Journal of …, 2024 - Elsevier
In clinical practice, functional limitations in patients with low back pain are subjectively
assessed, potentially leading to misdiagnosis and prolonged pain. This paper proposes an …
assessed, potentially leading to misdiagnosis and prolonged pain. This paper proposes an …
Accuracy evaluation of two markerless motion capture systems for measurement of upper extremities: Kinect V2 and Captiv
Motion capturing is a promising method to assess working postures and human movements
and, therewith, the risk of musculoskeletal injuries that could occur while performing manual …
and, therewith, the risk of musculoskeletal injuries that could occur while performing manual …