Over the past few years, there has been notable advancement in the field of Quantified Gait
Analysis (QGA), thanks to machine learning techniques. QGA and gait prediction are areas …

Background Despite the existence of evidence-based rehabilitation strategies that address
biomechanical deficits, the persistence of recurrent ankle problems in 70% of patients with …

Human activity recognition (HAR) is essential for the development of robots to assist humans
in daily activities. HAR is required to be accurate, fast and suitable for low-cost wearable …

Time-series forecasting is a practical goal in many areas of science and engineering.
Common approaches for forecasting future events often rely on highly parameterized or …

Predicting knee joint angles accurately is critical for biomechanical analysis and
rehabilitation. This paper introduces a new deep learning model called FocalGatedNet that …

Smart algorithms for gait kinematic motion prediction in wearable assistive devices including
prostheses, bionics, and exoskeletons can ensure safer and more effective device …

Gait disorders in neurological diseases are frequently associated with spasticity.
Intramuscular injection of Botulinum Toxin Type A (BTX-A) can be used to treat spasticity …

Human gait trajectory prediction is a long-standing research topic in human–machine
interaction. However, there are two shortcomings in the current gait trajectory prediction …

The Yeşilırmak River Basin in northern Türkiye is crucial for the region's water supply,
agriculture, hydroelectric power generation, and clean drinking water. The primary goal of …

Gait trajectory prediction is a crucial component in compensating control system delays,
reducing interactive resistance, and achieving real-time assistance in exoskeleton robotics …