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 …
Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
Multimodal emotion recognition using deep learning
SMSA Abdullah, SYA Ameen, MAM Sadeeq… - Journal of Applied …, 2021 - jastt.org
New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …
status to provide a seamless human-computer interface. This would make it possible for …
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
negative impact on driving performance. It is in urgent need that the stress levels of drivers …
Audio based depression detection using Convolutional Autoencoder
Depression is a serious and common psychological disorder that requires early diagnosis
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …
and treatment. In severe episodes the condition may result in suicidal thoughts. Recently …
Multimodal Emotion Recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
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 …
CNN-LSTM for automatic emotion recognition using contactless photoplythesmographic signals
W Mellouk, W Handouzi - Biomedical Signal Processing and Control, 2023 - Elsevier
Numerous researchers in the field of automatic human emotion recognition have shown that
physiological responses in humans are influenced by emotional changes. According to …
physiological responses in humans are influenced by emotional changes. According to …
[HTML][HTML] Deep learning-based EEG emotion recognition: Current trends and future perspectives
X Wang, Y Ren, Z Luo, W He, J Hong… - Frontiers in …, 2023 - frontiersin.org
Automatic electroencephalogram (EEG) emotion recognition is a challenging component of
human–computer interaction (HCI). Inspired by the powerful feature learning ability of …
human–computer interaction (HCI). Inspired by the powerful feature learning ability of …
[HTML][HTML] Driver emotions recognition based on improved faster R-CNN and neural architectural search network
It is critical for intelligent vehicles to be capable of monitoring the health and well-being of
the drivers they transport on a continuous basis. This is especially true in the case of …
the drivers they transport on a continuous basis. This is especially true in the case of …