Interface, interaction, and intelligence in generalized brain–computer interfaces
A brain–computer interface (BCI) establishes a direct communication channel between a
brain and an external device. With recent advances in neurotechnology and artificial …
brain and an external device. With recent advances in neurotechnology and artificial …
Recognition of human emotions using EEG signals: A review
Assessment of the cognitive functions and state of clinical subjects is an important aspect of
e-health care delivery, and in the development of novel human-machine interfaces. A …
e-health care delivery, and in the development of novel human-machine interfaces. A …
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 …
Emotionmeter: A multimodal framework for recognizing human emotions
In this paper, we present a multimodal emotion recognition framework called EmotionMeter
that combines brain waves and eye movements. To increase the feasibility and wearability …
that combines brain waves and eye movements. To increase the feasibility and wearability …
Transfer learning for EEG-based brain–computer interfaces: A review of progress made since 2016
A brain–computer interface (BCI) enables a user to communicate with a computer directly
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
using brain signals. The most common noninvasive BCI modality, electroencephalogram …
Identifying stable patterns over time for emotion recognition from EEG
In this paper, we investigate stable patterns of electroencephalogram (EEG) over time for
emotion recognition using a machine learning approach. Up to now, various findings of …
emotion recognition using a machine learning approach. Up to now, various findings of …
Multisource transfer learning for cross-subject EEG emotion recognition
Electroencephalogram (EEG) has been widely used in emotion recognition due to its high
temporal resolution and reliability. Since the individual differences of EEG are large, the …
temporal resolution and reliability. Since the individual differences of EEG are large, the …
Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition
EEG signals have been reported to be informative and reliable for emotion recognition in
recent years. However, the inter-subject variability of emotion-related EEG signals still poses …
recent years. However, the inter-subject variability of emotion-related EEG signals still poses …
EEG-based emotion recognition using 4D convolutional recurrent neural network
In this paper, we present a novel method, called four-dimensional convolutional recurrent
neural network, which integrating frequency, spatial and temporal information of …
neural network, which integrating frequency, spatial and temporal information of …
Domain adaptation techniques for EEG-based emotion recognition: a comparative study on two public datasets
Affective brain-computer interface (aBCI) introduces personal affective factors to human-
computer interaction. The state-of-the-art aBCI tailors its classifier to each individual user to …
computer interaction. The state-of-the-art aBCI tailors its classifier to each individual user to …