The essential human gait parameters are briefly reviewed, followed by a detailed review of
the state of the art in deep learning for the human gait analysis. The modalities for capturing …

Gait recognition has emerged as an attractive biometric technology for the identification of
people by analysing the way they walk. However, one of the main challenges of the …

One of the most attractive biometric techniques is gait recognition, since its potential for
human identification at a distance. But gait recognition is still challenging in real applications …

Gait recognition is a biometric technique used in determining the identity of humans based
on the style and the manner of their walk. Its performance is often degraded by covariate …

This paper describes a novel gait pattern recognition method based on Long Short-Term
Memory (LSTM) and Convolutional Neural Network (CNN) for lower limb exoskeleton. The …

Gait recognition is an emerging biometric technology that identifies people through the
analysis of the way they walk. The challenge of model-free based gait recognition is to cope …

Gait analysis is widely used in clinical practice to help in understanding the gait
abnormalities and its association with a certain underlying medical condition for better …

This research presents a novel insight on gait disorder detection using transfer learning
algorithms on sensor-acquired data based on the implementation of popular Convolutional …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …

For obtaining optimal performance, as many informative cues as possible should be
involved in the gait recognition algorithm. This paper describes a gait recognition algorithm …