Publications by authors named "Nitin Choudhury"
Emotion is a natural instinctive state of mind that greatly influences human physiological activities and daily life decisions. Electroencephalogram (EEG) signals created from the central nervous system are very useful for emotion recognition and classification. In this study, EEG signals of individuals are analyzed by the variational mode decomposition (VMD) for frequency domain features to recognize visual stimuli-based evoked emotions (happy, sad, fear).
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- - This paper describes a study that collected EEG data from 40 participants (14 females and 26 males, average age 21.5) while they completed various cognitive tasks and experienced short-term stress.
- - Tasks included the Stroop color-word test, arithmetic solving, and identifying mirror images, with each task performed for 25 seconds over three trials using a 32-channel EEG device.
- - The EEG data was processed to eliminate baseline drifts and artifacts, making it useful for research in brain-computer interfaces and for understanding stress-related brain activity patterns.