Affective, emotional, and physiological states (AFFECT) detection and recognition by
capturing human signals is a fast-growing area, which has been applied across numerous …

Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …

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

One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

Motion capture sensor-based gait emotion recognition is an emerging sub-domain of human
emotion recognition. Its applications span a variety of fields including smart home design …

This chapter outlines the current state of the art of Kinect sensor gait and activity
authentication. It also focuses on emotional cues that could be observed from human body …

Recently, emotion recognition through gait, which is more difficult to imitate than other
biological characteristics, has aroused extensive attention. Although some deep-learning …

Human emotion is perceived not only in facial expressions but also in every kind of body
language, including a human's walking gait. In this paper, we propose a VFL framework for …

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

Emotion recognition is useful in many applications such as preventing crime or improving
customer satisfaction. Most of current methods are performed using facial features, which …