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 …

Audio-visual emotion recognition aims to distinguish human emotional states by integrating
the audio and visual data acquired in the expression of emotions. It is crucial for facilitating …

This article proposes a hybrid network model for video-based human facial expression
recognition (FER) system consisting of an end-to-end 3D deep convolutional neural …

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

In this paper, we present a feature extraction approach for facial expressions recognition
based on distance importance scores between the coordinates of facial landmarks. Two …

Real-time sentiment analysis on video streams involves classifying a subject's emotional
expressions over time based on visual and/or audio information in the data stream …

Edible insects are recognized as a potential alternative and sustainable source of high‐
quality protein for the human diet. Entomophagy is highly related to negative emotions that …

As with many problems solved by deep neural networks, existing solutions rarely explain,
precisely, the important factors responsible for the predictions made by the model. This work …

In this paper, the multi-user video-based facial emotion recognition is examined in the
presence of a small data set with the emotions of end users. By using the idea of speaker …

Face expression recognition in videos is one of the most challenging research topics in the
field of Computer vision. With the advancements in Deep Learning and promising results of …