Background Running gait assessment has traditionally been performed using subjective
observation or expensive laboratory-based objective technologies, such as three …

Background Quantitative gait analysis is essential for evaluating walking and running
patterns for markers of pathology, injury, or other gait characteristics. It is expected that the …

Gait analysis continues to be an important technique for many clinical applications to
diagnose and monitor certain diseases. Many mental and physical abnormalities cause …

In the digital world of today, global security issues have given rise to video surveillance
devices. Gait-based human recognition is an emerging behavioral biometric trait for …

Background The quantification of gait temporal parameters (ie step time, stance time) is
crucial in human motion analysis and requires the accurate identification of gait events (ie …

Modern inertial measurements units (IMUs) are small, cheap, energy efficient, and widely
employed in smart devices and mobile robots. Exploiting inertial data for accurate and …

Physical mobility is essential to health, and patients often rate it as a high-priority clinical
outcome. Digital mobility outcomes (DMOs), such as real-world gait speed or step count …

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 …

Correctly identifying gait phases is a prerequisite to achieve a spatial/temporal
characterization of muscular recruitment during walking. Recent approaches have …

Advances in micro-electro-mechanical (MEMS) techniques enable inertial measurements
units (IMUs) to be small, cheap, energy efficient, and widely used in smartphones, robots …