Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to
benefit oncology through interpretable methods that require only one overall label per …

Background Single camera markerless motion capture has the potential to facilitate at home
movement assessment due to the ease of setup, portability, and affordable cost of the …

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

Tracking body pose on-the-go could have powerful uses in fitness, mobile gaming, context-
aware virtual assistants, and rehabilitation. However, users are unlikely to buy and wear …

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 …

This paper proposes a simple baseline framework for video-based 2D/3D human pose
estimation that can achieve 10× efficiency improvement over existing works without any …

Video anomaly detection (VAD) involves identifying events or behaviours in video
sequences that deviate from expected patterns. Most VAD models to date focus on seeking …

Human pose estimation in videos has wide-ranging practical applications across various
fields, many of which require fast inference on resource-scarce devices, necessitating the …

We present an extension to the Brain Imaging Data Structure (BIDS) for motion data. Motion
data is frequently recorded alongside human brain imaging and electrophysiological data …

Being able to capture relevant information about elite athletes' movement “in the wild” is
challenging, especially because reference marker-based approaches hinder natural …