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 …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

This chapter investigates how existing biometric research can be advanced by integrating it
with the social behavioural information. Analytical discussions on how social behavioural …

Accurate gait recognition is of high significance for numerous industrial and consumer
applications, including video surveillance, virtual reality, on-line games, medical …

Computer vision-based clinical gait analysis is the subject of permanent research. However,
there are very few datasets publicly available; hence the comparison of existing methods …

In this paper, we provide an approach for authenticating users in virtual reality (VR)
environments by tracking the behavior of users as they perform goal-oriented tasks, such as …

With the increase of terrorist threats around the world, human identification research has
become a sought after area of research. Unlike standard biometric recognition techniques …

Gait is a useful biometric feature for human identification in video surveillance applications
since it can be obtained without subject cooperation. In recent years, model-based gait …

Cognitive consumer electronics (CE), the fastest-growing sector worldwide that is driven by
machine intelligence and cognitive systems, is triggered and enabled by audio-and video …

In this paper, we propose a gait recognition method for service robots to conduct human
following tasks. A walking sequence segmentation method is designed to extract the …