EEG based emotion recognition: A tutorial and review
Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …
concept in Artificial Intelligence and holds great potential in emotional health care, human …
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …
through the utilization of brain waves. It is worth noting that the application of BCI is not …
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM
In recent years, graph convolutional neural networks have become research focus and
inspired new ideas for emotion recognition based on EEG. Deep learning has been widely …
inspired new ideas for emotion recognition based on EEG. Deep learning has been widely …
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 …
Time–frequency representation and convolutional neural network-based emotion recognition
Emotions composed of cognizant logical reactions toward various situations. Such mental
responses stem from physiological, cognitive, and behavioral changes …
responses stem from physiological, cognitive, and behavioral changes …
EEG emotion recognition using dynamical graph convolutional neural networks
In this paper, a multichannel EEG emotion recognition method based on a novel dynamical
graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed …
graph convolutional neural networks (DGCNN) is proposed. The basic idea of the proposed …
EEG-based BCI emotion recognition: A survey
Affecting computing is an artificial intelligence area of study that recognizes, interprets,
processes, and simulates human affects. The user's emotional states can be sensed through …
processes, and simulates human affects. The user's emotional states can be sensed through …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Emotion recognition using deep learning approach from audio–visual emotional big data
This paper proposes an emotion recognition system using a deep learning approach from
emotional Big Data. The Big Data comprises of speech and video. In the proposed system, a …
emotional Big Data. The Big Data comprises of speech and video. In the proposed system, a …
An efficient LSTM network for emotion recognition from multichannel EEG signals
Most previous EEG-based emotion recognition methods studied hand-crafted EEG features
extracted from different electrodes. In this article, we study the relation among different EEG …
extracted from different electrodes. In this article, we study the relation among different EEG …