Emotional stress is kind of stressful state which is developed due to the continuous occurrence of negative emotions such as sad, disgust, angry and fear over a long period of time. In this work, a detailed investigation has been carried out to identify the relation between negative emotions and stress through previous works. Different types of physiological signals have been investigated by previous researchers on assessing emotions and stress. However, very limited numbers of research works are discussed about the emotional stress assessment using physiological signals. Most of the literatures have been considered the questionnaires and interview-based approaches for estimating the human emotional stress, but these methods are suffers on getting the original or internal state of the subject and giving erroneous solutions in most of the times. Identifying and reducing the level of emotional stress is one of the major factors for preventing the subjects from any kind of medical illness. As result of this review, we have proposed a new data acquisition protocol and signal processing methods for effectively assessing the level of emotional stress through physiological signals.
It is aimed at finding the correlation between EEG channels from six induced emotions in normal subjects. The multichannel EEG data was measured by Pearson’s correlation coefficient to investigate the linear relationship between channel pairs in alpha, beta and gamma EEG frequency sub-bands. The EEG data were collected from 12 healthy subjects, with six induced emotions by audio-visual stimuli, which were anger, disgust, fear, happiness, sadness and surprise. The 14-channel wireless Emotiv Epoc was used for data collection. The results show that the EEG channels in alpha band was relatively higher correlation than in beta and gamma bands. The highest correlation for all emotions in alpha band were the channel pairs in right frontal region, FC6-F4 and F4-AF4. In beta and gamma bands, the highest correlation pairs involved the right frontal, occipital and parietal regions, which were FC6-F4 and O2-P8.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.