[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …
extremely important to ensure that healthy food is available for the survival of the inhabitants …
A visualized botnet detection system based deep learning for the internet of things networks of smart cities
R Vinayakumar, M Alazab, S Srinivasan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Internet of Things applications for smart cities have currently become a primary target for
advanced persistent threats of botnets. This article proposes a botnet detection system …
advanced persistent threats of botnets. This article proposes a botnet detection system …
Enhancement of patient facial recognition through deep learning algorithm: ConvNet
The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …
monitoring is a growing area of research interest. In this study, we present a technique for …
Deep learning approach to text analysis for human emotion detection from big data
J Guo - Journal of Intelligent Systems, 2022 - degruyter.com
Emotional recognition has arisen as an essential field of study that can expose a variety of
valuable inputs. Emotion can be articulated in several means that can be seen, like speech …
valuable inputs. Emotion can be articulated in several means that can be seen, like speech …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
Four-layer ConvNet to facial emotion recognition with minimal epochs and the significance of data diversity
Emotion recognition is defined as identifying human emotion and is directly related to
different fields such as human–computer interfaces, human emotional processing, irrational …
different fields such as human–computer interfaces, human emotional processing, irrational …
Brain-computer interface-based humanoid control: A review
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals
to control external devices. The generation of such signals is sometimes independent of the …
to control external devices. The generation of such signals is sometimes independent of the …
Multimodal emotion recognition from EEG signals and facial expressions
S Wang, J Qu, Y Zhang, Y Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Emotion recognition has attracted attention in recent years. It is widely used in healthcare,
teaching, human-computer interaction, and other fields. Human emotional features are often …
teaching, human-computer interaction, and other fields. Human emotional features are often …