Principal component analysis is a versatile statistical method for reducing a cases-by-
variables data table to its essential features, called principal components. Principal …

The recent exponential growth of metaverse technology has been instrumental in resha**
a myriad of sectors, not least digital healthcare. This comprehensive review critically …

Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …

The application of pose assessment on rehabilitation training has gradually received
attention in recent years. However, current evaluation indicators of these methods are mostly …

Human gait analysis is often conducted in clinical and basic research, but many common
approaches (eg, three-dimensional motion capture, wearables) are expensive, immobile …

The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …

The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the
effects and the progression of neurological diseases resulting in neuromotor disorders. In …

Real-time gait monitoring is crucial for neuromuscular diagnosis and rehabilitation of
neuromuscular ailments. However, the existing wearable sensors for gait analysis suffer …

Human activity recognition has become a pillar of today intelligent Human–Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. This paper …

Recent advancements in deep learning have produced significant progress in markerless
human pose estimation, making it possible to estimate human kinematics from single …