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 …
During the pandemic of coronavirus disease-2019 (COVID-19), medical practitioners need non-contact devices to reduce the risk of spreading the virus. People with COVID-19 usually …
Recognizing emotional state of human using brain signal is an active research domain with several open challenges. In this research, we propose a signal spectrogram image based …
Y Chen, R Chang, J Guo - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, with the continuous development of artificial intelligence and brain-computer interface technology, emotion recognition based on physiological signals, especially …
Y Chen, R Chang, J Guo - Mathematical Problems in …, 2021 - Wiley Online Library
In recent years, with the continuous development of artificial intelligence and brain‐ computer interface technology, emotion recognition based on physiological signals …
Emotion artificial intelligence (AI) is being increasingly adopted in several industries such as healthcare and education. Facial expressions and tone of speech have been previously …
Alcohol dependence is a common mental disease worldwide. Excessive alcohol consumption may lead to alcoholism and many complications. In severe cases, it will lead to …
ZT Liu, SJ Hu, J She, Z Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Using electroencephalogram (EEG) to recognize human emotion has attracted increasing attention. However, feature extraction from EEG is a challenging work because it is a …
The creation of non-invasive Neuro-headset technology has resulted in a variety of applications such as control, automation, and vehicular control. Unmanned Aerial Vehicles …