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Applications of pose estimation in human health and performance across the lifespan
The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …
study and assessment of human movement. Human pose estimation algorithms leverage …
[HTML][HTML] The role of machine learning in the primary prevention of work-related musculoskeletal disorders: A sco** review
To determine the applications of machine learning (ML) techniques used for the primary
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …
prevention of work-related musculoskeletal disorders (WMSDs), a sco** review was …
Artificial Intelligence-Assisted motion capture for medical applications: a comparative study between markerless and passive marker motion capture
I Takeda, A Yamada, H Onodera - Computer methods in …, 2021 - Taylor & Francis
We aimed to determine whether artificial intelligence (AI)-assisted markerless motion
capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is …
capture software is useful in the clinical medicine and rehabilitation fields. Currently, it is …
A systematic literature review of computer vision-based biomechanical models for physical workload estimation
Ergonomic risks, driven by strenuous physical demands in complex work settings, are
prevalent across industries. Addressing these challenges through detailed assessment and …
prevalent across industries. Addressing these challenges through detailed assessment and …
[HTML][HTML] Automatic classification of squat posture using inertial sensors: Deep learning approach
Without expert coaching, inexperienced exercisers performing core exercises, such as
squats, are subject to an increased risk of spinal or knee injuries. Although it is theoretically …
squats, are subject to an increased risk of spinal or knee injuries. Although it is theoretically …
Accuracy evaluation of 3d pose estimation with mediapipe pose for physical exercises
With the recent increase in interest in machine learning and computer vision, camera-based
pose estimation has emerged as a promising new technology. One of the most popular …
pose estimation has emerged as a promising new technology. One of the most popular …
UAV assisted traffic offloading in air ground integrated networks with mixed user traffic
B Fan, L Jiang, Y Chen, Y Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The air ground integrated networks can leverage unmanned aerial vehicle (UAV)
communications to tackle the ever-increasing and unbalanced traffic load in future …
communications to tackle the ever-increasing and unbalanced traffic load in future …
Machine learning algorithms can classify outdoor terrain types during running using accelerometry data
Background Running is a popular physical activity that benefits health; however, running
surface characteristics may influence loading impact and injury risk. Machine learning …
surface characteristics may influence loading impact and injury risk. Machine learning …
Review and analysis of patients' body language from an artificial intelligence perspective
Body language is a nonverbal communication process consisting of movements, postures,
gestures, and expressions of the body or body parts. Body language expresses human …
gestures, and expressions of the body or body parts. Body language expresses human …
A computer-vision method to estimate joint angles and L5/S1 moments during lifting tasks through a single camera
Weight lifting is a risk factor of work-related low-back musculoskeletal disorders (MSD). From
the ergonomics perspective, it is important to measure workers' body motion during a lifting …
the ergonomics perspective, it is important to measure workers' body motion during a lifting …