Gait recognition is an emerging biometric technology that can be used to protect the privacy
of wearable device owners. To improve the performance of the existing gait recognition …

Identity-recognition technologies require assistive equipment, whereas they are poor in
recognition accuracy and expensive. To overcome this deficiency, this paper proposes …

Gait recognition has emerged as a significant and promising solution for human
identification. However, existing multisensor-based gait recognition studies have the …

In recent years, gait recognition has emerged as an important and promising solution for
human identification. Generally, gait recognition is based on a single type of sensor, such as …

In many existing multi-view gait recognition methods based on images or video sequences,
gait sequences are usually used to superimpose and synthesize images and construct …

This paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied
to multi-view gait recognition. The STDNN comprises a temporal feature network (TFN) and …

Human gait recognition is one of the most promising biometric technologies, especially for
unobtrusive video surveillance and human identification from a distance. Aiming at …

Abstract Systems based on physiological biometrics are ubiquitous but requires subject
cooperation or high resolution to capture. Gait recognition is a great avenue for identification …

Human gait recognition has a wide range of applications in multiple fields, such as video
surveillance, digital security, and forensics. In this paper, we investigate the challenging …

Abnormal gait recognition is important for detecting body part weakness and diagnosing
diseases. The abnormal gait hides a considerable amount of information. In order to extract …