While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

We seek to understand the extraction of radar micro-Doppler signals generated by human
motions at long range and with a front-view to use them as a biometric. We describe micro …

In recent years, behavioral biometrics have become a popular approach to support
continuous authentication systems. Most generally, a continuous authentication system can …

Frontal gait recognition using partial cycle information has not received significant attention
to date in spite of its many potential applications. In this paper, we propose a hierarchical …

We present a new method for front-view gait biometrics which uses a single non-calibrated
camera and extracts unique signatures from descriptors of a silhouette's deformation. The …

Current trends seem to accredit gait as a sensible biometric feature for human identification,
at least in a multimodal system. In addition to being a robust feature, gait is hard to fake and …

This paper presents a robust walk-detection algorithm, based on our symmetry approach
which can be used to extract gait characteristics from video-image sequences. To obtain a …

Frontal view gait recognition for people identification has been carried out using single RGB,
stereo RGB, Kinect 1.0, and Doppler radar. However, existing methods based on these …

Automatic human recognition systems based on biometrics are becoming increasingly
popular in today's world. In particular, gait recognition (ie, recognition based on the peculiar …

Despite that much progress has been reported in gait recognition, most of these existing
works adopt lateral-view parameters as gait features, which requires large area of data …