Human motion analysis is fundamental in many real applications such as surveillance and
monitoring, human-machine interface, medical motion analysis and diagnosis. With the …

With an ageing society comes the increased prevalence of gait disorders. The restriction of
mobility leads to a considerable reduction in the quality of life, because associated falls …

Inertial Measurement Unit (IMU) sensor-based gait phase recognition is widely used in
medical and biomechanics fields requiring gait data analysis. However, there are several …

With the help of wearable robotics, the lower limb exoskeleton becomes a promising
solution for spinal cord injury (SCI) patients to recover lower body locomotion ability …

Gait recognition is significant in the fields of disease diagnosis and rehabilitation training by
studying the characteristics of human gait with different terrain. To address the problem that …

Accurate and automatic analysis of electrocardiogram (ECG) signals plays a key role in the
diagnosis of cardiovascular disease. This paper aims to investigate the performance of the …

This letter describes a new image augmentation method based on a DCGAN considering
mode switching in terms of transient learning accuracy threshold on the problem of human …

In order to operate a gait rehabilitation device, it is necessary to accurately classify the states
appearing in activities of daily living (ADLs). In the case of force sensing resistors (FSRs) …

The existing studies on foot pressure measurement have primarily focused on sensor
placement and the number of sensors instead of sensor size and the ground above the …

This study introduces a framework to improve upper extremity motion-based
telemanipulation by component-wise rescaling (CWR) of spatial twist. This method allows for …