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

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

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

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

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 …

Abstract We propose Social Diffusion, a novel method for short-term and long-term
forecasting of the motion of multiple persons as well as their social interactions. Jointly …

Lower‐limb motion monitoring is highly desired in various application scenarios ranging
from rehabilitation to sports training. However, there still lacks a cost‐effective, energy …

Kinematic analysis is often performed in a lab using optical cameras combined with
reflective markers. With the advent of artificial intelligence techniques such as deep neural …