This paper presents a comprehensive exposition of deep learning architectures and
pipelines for biometric applications using complex characteristics of human gait. The variety …

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 …

In this paper, we propose a unified real-time framework for gait-based age estimation and
gender classification that uses just a single image, which reduces the latency in video …

Age is an important human attribute that needs to be determined for various purposes,
including security, health, human identification, and law enforcement. Hence, there is an …

This chapter advances information security research by integrating privacy concepts with the
most recent biometric developments. Analytical discussions on how physiological …

Gait-based age estimation is a key technique for many applications. It is well known that age
estimation uncertainty is highly dependent on age (ie, small for children and large for …

Gait is an attractive biometric identifier, playing an essential role in addressing the issue of
identity and attribute recognition in surveillance for its non-invasive and non-cooperative …

Gait-based age estimation is one of key techniques for many applications (eg, finding lost
children/aged wanders). It is well known that the age estimation uncertainty is highly …

Human gait is a biometric that is being used in security systems because it is unique for
each individual and helps recognise one from a distance without any intervention. To …

Deep learning has been applied in healthcare, where features of patients are read by the
computer to assist with diagnosis and treatment. In sports medicine, kinematic …