Gait analysis has traditionally been carried out in a laboratory environment using expensive
equipment, but, recently, reliable, affordable, and wearable sensors have enabled …

In the last years, gait phase partitioning has come to be a challenging research topic due to
its impact on several applications related to gait technologies. A variety of sensors can be …

Machine learning methods have been widely used for gait assessment through the
estimation of spatio-temporal parameters. As a further step, the objective of this work is to …

Gait detection plays an important role in areas where spatial-temporal gait parameters are
needed. Inertial sensors are now sufficiently small in size and light in weight for collection of …

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 …

This paper describes a novel functional body-to-sensor calibration procedure for inertial
sensor-based gait analysis. The procedure is designed to be easily and autonomously …

In this brief, we present a set of techniques for finding a cost function to the time-invariant
linear quadratic regulator (LQR) problem in both continuous-and discrete-time cases. Our …

Due to the recent rise in the use of lower-limb exoskeletons as an alternative for gait
rehabilitation, gait phase detection has become an increasingly important feature in the …

In this work, we decided to apply a hierarchical weighted decision, proposed and used in
other research fields, for the recognition of gait phases. The developed and validated novel …

Surface electromyography (sEMG) has the potential for human lower limb movement
analysis, including gait phases recognition and joint angle estimation, which can provide a …