The literature is rich in techniques and methods to perform Continuous Authentication (CA)
using biometric data, both physiological and behavioral. As a recent trend, less invasive …

Gait recognition aims to identify individuals by recognizing their walking patterns. However,
an observation is made that most of the previous gait recognition methods degenerate …

目前深度学习算法已经广泛应用于步态识别领域, 但是大多数现有方法通过卷积神经网络提取步
态全局特征时, 忽略了许多包含关键步态信息的局部特征, 在一定程度上削弱了步态识别的精度 …

Due to the recent challenges in access control, surveillance and security, there is an
increased need for efficient human authentication solutions. Ear recognition is an appealing …

This paper proposes face detection from blurry and noisy images robustly and efficiently
using convolutional neural networks. It has also been demonstrated that the method of face …

We propose a robust gait recognition method based on the combination of global and local
image entropy features. An improved feature extraction scheme is developed, in which …

Recognizing users via gait information is a potential approach for user privacy protection in
the Internet of Things. Floor-based gait recognition aims to accomplish identification using …

This paper reports high-dimensional time-series data processing for gait analysis using data
from a full-body wireless wearable motion sensing system with machine learning models …

步态作为一种人体躯干, 关节, 上下肢及各肌群的周期性行为模式, 是可用于身份识别过程的一种
重要生物特征. 针对现有的步态识别方法大都是基于步态轮廓图或者步态能量图提取的全局特征 …

Gait recognition is a distinct biometric technique for identifying people at a distance based
on their walking style. It is used extensively in video surveillance, medical, forensics, digital …