Human biomechanics and gait form an integral part of life. The gait analysis involves a large
number of interdependent parameters that were difficult to interpret due to a vast amount of …

Gait analysis has been studied for a long time and applied to fields such as security, sport,
and medicine. In particular, clinical gait analysis has played a significant role in improving …

The wearable lower limb exoskeleton is a typical human-in-loop human–robot coupled
system, which conducts natural and close cooperation with the human by recognizing …

Due to the increasing resolution and usage requirements of sensors and the increasing
computational cost of algorithms, the application of existing human motion pattern and …

In recent decades, although the research on gait recognition of lower limb exoskeleton robot
has been widely developed, there are still limitations in rehabilitation training and clinical …

Stroke is a neurological condition that usually results in the loss of voluntary control of body
movements, making it difficult for individuals to perform activities of daily living (ADLs). Brain …

Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot
interaction. The coupling of robot assisted gait training (RAGT) with a brain-machine …

The scientific community has recently shown a lot of interest in biometric-based person
recognition systems. It is a dynamic technology that tries to recognize biometrics …

Person recognition systems based on biometrics have recently attracted a lot of attention in
the scientific community. It's an ever-evolving technology that aspires to do biometric …

For the lower limb exoskeleton system, gait prediction is of great significance for human-
machine collaborative control. This paper proposes a method for predicting the gait of lower …