Emotion recognition is defined as identifying human emotion and is directly related to
different fields such as human–computer interfaces, human emotional processing, irrational …

There has been an exponential increase in discussions about bias in Artificial Intelligence
(AI) systems. Bias in AI has typically been defined as a divergence from standard statistical …

Rapid development of artificial intelligence (AI) systems amplify many concerns in society.
These AI algorithms inherit different biases from humans due to mysterious operational flow …

Today deep convolutional neural networks (CNNs) push the limits for most computer vision
problems, define trends, and set state-of-the-art results. In remote sensing tasks such as …

Recognizing human emotions from videos requires a deep understanding of the underlying
multimodal sources, including images, audio, and text. Since the input data sources are …

Human facial expressions and bio-signals (eg, electroencephalogram and
electrocardiogram) play a vital role in emotion recognition. Recent approaches employ both …

Featured Application This work is being developed as part of a closed-loop system to be
used in the therapeutic treatment of people with autism spectrum disorder. Abstract Neural …

In this paper, we present a deep learning-based method for 3D face recognition. Unlike
some previous works, our process does not rely on face representation methods as a proxy …

Introduction Pain assessment is extremely important in patients unable to communicate and
it is often done by clinical judgement. However, assessing pain using observable indicators …

Abstract Facial Expression Recognition (FER) categorizes various human emotions by
analyzing the features of the face, so it plays a vital role in recognizing emotions. Prior …