The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

One of the rudimentary forms of human locomotion is Gait that roves the center of mass
(COM) of the body in different directions. The human gait is comprised of details of the …

Prior research has shown the potential of device-free WiFi sensing for human activity
recognition. In this paper, we show for the first time WiFi signals can also be used to …

In this paper, we propose a new spatio-temporal gait representation, called Gait Energy
Image (GEI), to characterize human walking properties for individual recognition by gait. To …

Identification of people by analysis of gait patterns extracted from video has recently become
a popular research problem. However, the conditions under which the problem is" solvable" …

This paper presents the largest inertial sensor-based gait database in the world, which is
made open to the research community, and its application to a statistically reliable …

An increasingly common requirement of computer systems is to extract information
regarding the people present in an environment. In this article, we provide a survey of the …

Identifying users of portable devices from gait signals acquired with three-dimensional
accelerometers was studied. Three approaches, correlation, frequency domain and data …

In two editions spanning more than a decade, The Electrical Engineering Handbook stands
as the definitive reference to the multidisciplinary field of electrical engineering. Our …

We present an attention-based model that reasons on human body shape and motion
dynamics to identify individuals in the absence of RGB information, hence in the dark. Our …