Gait recognition is an appealing biometric modality which aims to identify individuals based
on the way they walk. Deep learning has reshaped the research landscape in this area …

Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …

Compared to other biometrics, gait is difficult to conceal and has the advantage of being
unobtrusive. Inertial sensors, such as accelerometers and gyroscopes, are often used to …

The study of gait recognition, a biometric application that identifies individuals based on their
unique walking patterns, is an evolving field. In this paper, we conduct a literature review to …

Gait recognition refers to the identification of individuals based on features acquired from
their body movement during walking. Despite the recent advances in gait recognition with …

Deep learning (DL) pipelines have evolved for over a decade now and are efficient at
solving many challenging problems of image and signal processing applications. Designing …

In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …

We propose a device for monitoring the number of people who are physically present inside
indoor environments. The device performs local processing of infrared array sensor data …

In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …

Visual surveillance has exponentially increased the growth of security devices and systems
in the digital era. Gait-based person identification is an emerging biometric modality for …