Review and classification of emotion recognition based on EEG brain-computer interface system research: a systematic review
Recent developments and studies in brain-computer interface (BCI) technologies have
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
facilitated emotion detection and classification. Many BCI studies have sought to investigate …
A survey of emotion recognition methods with emphasis on E-Learning environments
M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
[HTML][HTML] Wavelet based machine learning models for classification of human emotions using EEG signal
SK GS, N Sampathila, T Tanmay - Measurement: Sensors, 2022 - Elsevier
Humans have the ability to portray different expressions contrary to the emotional state of
mind. Therefore, it is difficult to judge the human's real emotional state simply by judging the …
mind. Therefore, it is difficult to judge the human's real emotional state simply by judging the …
Brain signal based human emotion analysis by circular back propagation and Deep Kohonen Neural Networks
DJ Hemanth, J Anitha - Computers & Electrical Engineering, 2018 - Elsevier
Human emotion analysis is one of the challenging tasks in today's scenario. The success
rate of human emotion recognition has high implication in practical applications such as …
rate of human emotion recognition has high implication in practical applications such as …
Discrimination of genuine and acted emotional expressions using EEG signal and machine learning
We present here one of the first studies that attempt to differentiate between genuine and
acted emotional expressions, using EEG data. We present the first EEG dataset (available …
acted emotional expressions, using EEG data. We present the first EEG dataset (available …
[PDF][PDF] The challenges of emotion recognition methods based on electroencephalogram signals: A literature review
Electroencephalogram (EEG) signals in recognizing emotions have several advantages.
Still, the success of this study, however, is strongly influenced by: i) the distribution of the …
Still, the success of this study, however, is strongly influenced by: i) the distribution of the …
Validation of Emotiv EPOC+ for extracting ERP correlates of emotional face processing
The article presents our proposed adaptation of the commercially available Emotiv EPOC+
EEG headset for neuroscience research based on event-related brain potentials (ERP). It …
EEG headset for neuroscience research based on event-related brain potentials (ERP). It …
Heart attack detection in colour images using convolutional neural networks
G Rojas-Albarracin, MÁ Chaves… - Applied Sciences, 2019 - mdpi.com
Cardiovascular diseases are the leading cause of death worldwide. Therefore, getting help
in time makes the difference between life and death. In many cases, help is not obtained in …
in time makes the difference between life and death. In many cases, help is not obtained in …
[HTML][HTML] Ambient intelligence for health environments
Ambient Intelligence (AmI) is an emerging paradigm [1],[3] in which people are empowered
through intelligent tools embedded in the surrounding environment and by objects that are …
through intelligent tools embedded in the surrounding environment and by objects that are …
Research on behavior analysis of real-time online teaching for college students based on head gesture recognition
L Qianqian, W Qian, X Boya, L Churan… - IEEE …, 2022 - ieeexplore.ieee.org
The accessibility of online teaching makes it popular in various teaching scenarios. Most of
these researches about online interaction mainly focuse on the communication network …
these researches about online interaction mainly focuse on the communication network …