Abstract
We present the design of a mobile system for real-time stress-level assessment. The system combines wearable sensors, wireless data acquisition, and Cloud computing in order to collect and analyze physiological signals, such as, Galvanic Skin Response (GSR) and skin temperature. We report on the implementation of a specific use case, which incorporates functionality for real-time data logging and analysis. Experimental results demonstrate excellent recognition accuracy of affective arousal and decent accuracy for binary detection of valence. In addition, we also evaluate the feasibility for detection of high arousal/negative valence (HANV) events, which in specific setups can be connected to stress.
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Acknowledgement
The authors acknowledge with sincere thanks the support received through the research project NP5/2017 entitled “Study of Methods and Apparatus for the Acquisition of Biomedical Data in Mobile Setup”, financed by the National Science Fund of Bulgaria and Technical University of Varna.
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Markova, V., Kalinkov, K., Stanev, P., Ganchev, T. (2018). Automated Stress Level Monitoring in Mobile Setup. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 680. Springer, Cham. https://doi.org/10.1007/978-3-319-68324-9_35
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DOI: https://doi.org/10.1007/978-3-319-68324-9_35
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