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A review on stress detection among college students using PSS and physiological signals
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| Author:
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V.G.RAJENDRAN, S.JAYALALITHA, K.ADALARASU, M.THALAIMALAICHAMY
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| Abstract:
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In recent days, stress plays a major role in human beings. In this paper, a detailed survey was carried out for the measurement of stress among college students by using various methods. According to a record from National Crime Record Bureau (NCRB), in India one student get suicide in every one hour. The source of stress induced in the student due to the following reasons such as personal inadequacy, competition exams, money problem, higher syllabus and addiction to alcohols. The above-mentioned factor may cause long-term stress in the students so that it may lead to suicide among themselves. In order to avoid the suicide rate in students, it is important to measure and study the detection of stress in college students. In this study, various methods were discussed to measure the stress level in the college students such as Perceived Stress Scale (PSS) and physiological signals such as sweat, salivary cortisol, blood pressure, oxygen saturation (SpO2), heart rate variability, electromyogram (EMG), electrocardiogram (ECG), and electroencephalogram (EEG) signals. With the physiological signal, the features extracted using any one of the mathematical transformation techniques such as Wavelet Transform (WT), fast fourier transform (FFT), and auto regressive method (ARM). Finally, the stress level was classified by using various machine learning algorithms such as linear regression, Naive Bayes, support vector machine (SVM), and K-Nearest Neighbor (K-NN).
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| Keyword:
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Stress, Perceived stress scale (PSS), Electroencephalogram (EEG), Fast Fourier Transform (FFT), Wavelet Transform and Support Vector Machine (SVM).
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| EOI:
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-
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| DOI:
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https://doi.org/10.31838/ijpr/2021.13.02.424
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| Download:
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