In this article, a hierarchical method for action recognition based on temporal and spatial
features is proposed. In current HAR methods, camera movement, sensor movement …

The tools for creating and analyzing gaits are improving all the time. Demand for a gait-
based dataset that can be recognized and used to extract useful information is at an all-time …

Gait feature recognition refers to recognizing identities by collecting the characteristics of
people when they walk. It shows the advantages of noncontact measurement, concealment …

Biometrics is an area where the studies of human behavioral or physiological attributes are
performed. The modalities such as voice, keystroke dynamics, handwriting, human gait etc …

The precise estimation of age is pivotal in identity verification across critical security
checkpoints, including seaports, land borders, and airports. This study introduces an …

We live in the generation wherein innovations such as Cancer Detection, Facial Recognition
and Data Analysis have become a common place, all thanks to Image processing and …

This paper represents a method for Human Recognition system using Principal Component
Analysis. Human Gait recognition works on the gait of walking subjects to identify people …

The COVID-19 pandemic has emphasized the awareness of avoiding contact with shared or
public devices, such as those used in traditional biometric systems. Common biometric …

Due to the increasing interest in human identification by computer vision researchers, the
concept of gait recognition has been proposed. This method would allow them to identify …

Accurately estimating a person's age is crucial for identity verification at all critical
checkpoints, including airports, land borders, and seaports. Human gait may be used as a …