Papers by Sounderrajan Karthikeyan
This paper presents a novel approach for mental stress detection using EEG signal. Recently vario... more This paper presents a novel approach for mental stress detection using EEG signal. Recently various research and techniques have been developed for analyzing the EEG signal. According to previously proposed papers, EEG signals were captured from the scalp of the brain and measured in responds to various stimuli. The collected data was then used to extract a set of features using various techniques such as PCA and ICA. For classifying "stressed" and "relaxed" states SVM, K-Means algorithms have been studied. Results have shown the potential of using EEG signal to visualize different levels of stress. This paper discusses the techniques and transformations proposed earlier in literature for extracting feature from an EEG signal and classifying them.
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Papers by Sounderrajan Karthikeyan