Abstract
Stress plays a vital role in everyday life. It is mental state and is accompanied by physiological changes. So monitoring of these significant changes are important, which can help to identify the matter of anxiety at an early stage before serious. Various methods have been adopted to detect the stress with various sensors. GSR sensor is one of them to detect the stress at a particular time in different position with moods. In this paper three different positions like lying, sitting and standing have been considered with three moods. Normal, tension, and physical exercise have been considered for three different moods of human life. It has been observed that, the result of GSR value in term of physiological data are constantly varies in respect to surface area contact with body and maximum GSR values observed during tension moods.
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Sahoo, R., Sethi, S. (2015). Functional Analysis of Mental Stress Based on Physiological Data of GSR Sensor. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India (CSI) Volume 1. Advances in Intelligent Systems and Computing, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-319-13728-5_12
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DOI: https://doi.org/10.1007/978-3-319-13728-5_12
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