Bipedal robots are gaining significant attention due to their wide range of applications in
various fields such as manufacturing, transportation, rehabilitation, and many others …

Gait or walking pattern has been known as one of the alternative biometric solutions used in
surveillance monitoring and control. The methods of gait recognition have been developed …

Human motion detection is a major subject of investigation in the field of machine
visualization and synthetic integration. It serves a wide and important spectrum of …

Action recognition is an important research direction in computer vision, which has
worldwide applications, such as video surveillance, human-robot interaction and so on. Due …

In recent years, autonomous rehabilitation training systems with no or reduced supervision
have attracted much research attentions. It is essential to automatically record and recognize …

Gait analysis has applications in medical diagnosis, biometrics, and development of
therapeutic rehabilitation interventions (such as orthotics, prosthetics, and exoskeletons) …

Unit quaternions give quite new possibilities in an analysis of motion capture data. They
provide a compact, holistic axis-angle representation of 3D rotations. An application of …

DTW measures is an indication of dissimilarity, which has a wide range of applications in
pattern recognition and machine learning. Nevertheless, it is difficult to directly calculate the …

In this paper, we present a gait recognition method using convolutional features and
histograms of temporal gradients. The method comprises three stages, namely the …

In the gait recognition problem, most studies are devoted to developing gait descriptors
rather than introducing new classification methods. This paper proposes hybrid methods that …