Falls are the leading cause of disability and death among the elderly. Over the years,
several inertial-based wearable devices for automatic fall and pre-fall detection have been …

Wearable robots, sometimes known as exoskeletons, are incredible devices for improving
human strength, reducing fatigue, and restoring impaired mobility. The control of powered …

The cycling literature is filled with reports of electromyography (EMG) analyses for a better
understanding of muscle function during cycling. This research is not just limited to …

Introduction Muscle activation during interruptions to prolonged sedentary time is a
hypothesized mechanism underlying observed cardiometabolic benefits. We examined …

Prolonged inactivity in office workers is a well-known contributor to various diseases, such
as obesity, diabetes, and cardiovascular dysfunction. In recent years, active workstations …

Background Stationary equipment devices are often used to improve fitness. The ElliptiGO®
was recently developed that blends the elements of an elliptical trainer and bicycle, allowing …

The muscles of the lower limbs directly influence leg motion, therefore, lower limb muscle
exercise is important for persons living with lower limb disabilities. This paper presents a …

This paper proposed a muscle-activation-dependent human-exoskeleton model for
predicting human-exoskeleton coupling parameters to improve the studies of coupling …

This study introduces a hybrid model that utilizes a model-based optimization method to
generate training data and an artificial neural network (ANN)-based learning method to offer …

This study presents an alternative method of normalizing Surface Electromyography (EMG)
signals, which provide valuable insights into the musculoskeletal properties of the human …