To characterize human emotions, researchers have increasingly utilized Automatic Facial
Expression Analysis (AFEA), which automates the Facial Action Coding System (FACS) and …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

This study presents a systematic review of the automatic vision-based assessment systems
and models from related fields over the last 6 years. Many studies focus on automatic vision …

Smart toys have become popular as technological solutions offer a better experience for
children. However, the technology employed greatly increases the risks to children's privacy …

Emotion recognition has become increasingly important in the field of Deep Learning (DL)
and computer vision due to its broad applicability by using human–computer interaction …

Advances within the toy industry and interconnectedness have resulted in the rapid and
pervasive development of smart connected toys (SCTs), built with the capacity to collect …

Existing methods for scoring student presentations predominantly rely on computer-based
implementations and do not incorporate a robotic multi-classification model. This limitation …

An automatic “museum audio guide” is presented as a new type of audio guide for
museums. The device consists of a headset equipped with a camera that captures exhibit …

Nowadays, much research attention is focused on human–computer interaction (HCI),
specifically in terms of biosignal, which has been recently used for the remote controlling to …

Human emotions play a very important role in communication. Emotional speech recognition
research brings human–machine communication closer to human-to-human …