This paper presents a literature review on pattern recognition of electromyography (EMG)
signals and its applications. The EMG technology is introduced and the most relevant …

Recent engineering and neuroscience applications have led to the development of brain–
computer interface (BCI) systems that improve the quality of life of people with motor …

In many gait applications, the focal events are the stance and swing phases. Although
detecting gait events using electromyography signals will help the development of assistive …

Surface electromyography (sEMG) is the main non-invasive tool used to record the electrical
activity of muscles during dynamic tasks. In clinical gait analysis, a number of techniques …

Gait phase detection is a new biometric method which is of great significance in gait
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …

Quantifying movement variability is a crucial aspect for clinical and laboratory investigations
in several contexts. However, very few studies have assessed, in detail, the intra-subject …

Driving cycles are standardized measurement procedure for the certification of vehicles'
economy and emission, and could help evaluate driving distance and new vehicular …

Human locomotion is a complex motor task. Previous research hypothesized that muscle
synergies reflect the modular control of muscle groups operated by the Central Nervous …

The world is experiencing an unprecedented, enduring, and pervasive aging process. With
more people who need walking assistance, the demand for lower extremity gait …

Human gait phase recognition is a significant technology for rehabilitation training robot,
human disease diagnosis, artificial prosthesis, and so on. The efficient design of the …