Methods: We used a combination of relevant key words to search four major databases,
such as “Web of Sciences, Embase, PubMed and Science Direct”. From among 156 articles …

Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …

A common assumption in multimodal learning is the completeness of training data, ie, full
modalities are available in all training examples. Although there exists research endeavor in …

Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …

Learning multimodal representations is a fundamentally complex research problem due to
the presence of multiple heterogeneous sources of information. Although the presence of …

Human‐computer interaction (HCI) has seen a paradigm shift from textual or display‐based
control toward more intuitive control modalities such as voice, gesture, and mimicry …

Human emotion recognition is a key technique in human–computer interaction. Traditional
emotion recognition algorithms rely on external actions such as facial expression, which …

The past few years have witnessed an increase in the development of wearable sensors for
health monitoring systems. This increase has been due to several factors such as …

The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …