A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
Artificial intelligence in business: State of the art and future research agenda
This study provides an overview of state-of-the-art research on Artificial Intelligence in the
business context and proposes an agenda for future research. First, by analyzing 404 …
business context and proposes an agenda for future research. First, by analyzing 404 …
A review of emotion recognition using physiological signals
Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …
many areas such as safe driving, health care and social security. In this paper, we present a …
CNN and LSTM-based emotion charting using physiological signals
Novel trends in affective computing are based on reliable sources of physiological signals
such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin …
such as Electroencephalogram (EEG), Electrocardiogram (ECG), and Galvanic Skin …
Heart rate variability monitoring for emotion and disorders of emotion
J Zhu, L Ji, C Liu - Physiological measurement, 2019 - iopscience.iop.org
Background: Emotion is composed of cognitive processing, physiological response and
behavioral reaction. Heart rate variability (HRV) refers to the fluctuations between …
behavioral reaction. Heart rate variability (HRV) refers to the fluctuations between …
Automated emotion identification using Fourier–Bessel domain-based entropies
Human dependence on computers is increasing day by day; thus, human interaction with
computers must be more dynamic and contextual rather than static or generalized. The …
computers must be more dynamic and contextual rather than static or generalized. The …
Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
W Li, Z Zhang, A Song - Measurement, 2021 - Elsevier
Exploration on emotions continues from past to present. Nowadays, with the rapid
advancement of intelligent technology, computer-aided emotion recognition using …
advancement of intelligent technology, computer-aided emotion recognition using …
A novel exploitative and explorative GWO-SVM algorithm for smart emotion recognition
Emotion recognition or detection is broadly utilized in patient–doctor interactions for
diseases, such as schizophrenia and autism and the most typical techniques are speech …
diseases, such as schizophrenia and autism and the most typical techniques are speech …
Pre-training in medical data: A survey
Medical data refers to health-related information associated with regular patient care or as
part of a clinical trial program. There are many categories of such data, such as clinical …
part of a clinical trial program. There are many categories of such data, such as clinical …
A survey of multidisciplinary domains contributing to affective computing
Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …
multidisciplinary research field, in which interrelated domains like sociology, psychology …