The 2026 recruiting class is signed, sealed and nearly delivered; and to fully wrap it up, Rivals has released its final ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Abstract: Deep learning has been widely used in wearable sensors to improve accuracy in gait analysis. However, these deep learning models typically focus on single tasks, either in gait parameter ...
The Heel2Toe™ device, developed by PhysioBiometrics, clips to the side of a shoe and gives auditory feedback to encourage better walking. (CNW Group/AGE-WELL) PhysioBiometrics Inc. has launched ...
For patients with Parkinson's disease, changes in their ability to walk can be dramatic. “Parkinson’s gait,” as it is often called, can include changes in step length and asymmetry between legs. This ...
1 Centre for Research and Technology Hellas, Information Technologies Institute, Thessaloniki, Greece 2 School of Sport and Exercise Sciences, Faculty of Science, Liverpool John Moores University, ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
Background: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by impaired gait and cognition, and urinary incontinence. Even though iNPH still lacks standardized diagnostic criteria, ...
Wang et al. presented visual (dot) motion and/or the sound of a walking person and found solid evidence that EEG activity tracks the step rhythm, as well as the gait (2-step cycle) rhythm, with some ...
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