Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …

Emotion recognition has a key role in affective computing. Recently, fine-grained emotion
analysis, such as compound facial expression of emotions, has attracted high interest of …

Facial emotion recognition is an inherently complex problem due to individual diversity in
facial features and racial and cultural differences. Moreover, facial expressions typically …

Most prior research on basic emotions has relied upon posed, static displays that do not
accurately reflect the facial behavior seen in everyday life. To address this gap, the present …

Soft biometrics, although not discriminant enough for person recognition provides additional
information that aids traditional person recognition. Initially, attempts were made to integrate …

People express emotions through different modalities. Integration of verbal and non-verbal
communication channels creates a system in which the message is easier to understand …

The ChaLearn large-scale gesture recognition challenge has run twice in two workshops in
conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and …

Faces in motion contain rich information about a myriad of social cues, including identity.
However, is still unknown how much information about a person's identity is conveyed by …

Affective computing studies and develops systems capable of detecting humans affects. The
search for universal well-performing features for speech-based emotion recognition is …