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2015 | OriginalPaper | Buchkapitel

Remotely Functional-Analysis of Mental Stress Based on GSR Sensor Physiological Data in Wireless Environment

verfasst von : Ramesh Sahoo, Srinivas Sethi

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

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Abstract

Stress analysis in wireless environment plays a vital role in everyday life. Monitoring of mental state with significant physiological changes is important, which can help to recognize the matter of anxiety. Particularly it is more important in wireless environment. GSR sensor is one of the various methods to detect the stress at a particular time in different position with various activities. In this paper, it has been considered three different activities like; normal, tension, and physical exercise with laying, sitting and standing activities and send the information in wireless environment. It has been observed that, GSR sensed data are varies in respect to contact surface area with body, environment and activities. Further the data can be sent through wireless mode to the destination point for analysis.

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Literatur
1.
Zurück zum Zitat Glanz, K., Schwartz, M.: Stress, coping, and health behavior. In: Health Behavior and Health Education: Theory, Research, and Practice, pp. 211–236 (2008) Glanz, K., Schwartz, M.: Stress, coping, and health behavior. In: Health Behavior and Health Education: Theory, Research, and Practice, pp. 211–236 (2008)
2.
Zurück zum Zitat Vijaya, P.A., Shivakumar, G.: Galvanic skin response: a physiological sensor system for affective computing. Int. J. Mach. Learn. Comput. 3(1) (2013) Vijaya, P.A., Shivakumar, G.: Galvanic skin response: a physiological sensor system for affective computing. Int. J. Mach. Learn. Comput. 3(1) (2013)
3.
Zurück zum Zitat Westerink, J.H.D.M., van den Broek, E.L., Schut, M.H., van Herk, J., Tuinenbreijer, K.: Computing emotion awareness through galvanic skin response and facial electromyography. In: Probing Experience Philips Research, vol. 8, pp. 149–162 (2008) Westerink, J.H.D.M., van den Broek, E.L., Schut, M.H., van Herk, J., Tuinenbreijer, K.: Computing emotion awareness through galvanic skin response and facial electromyography. In: Probing Experience Philips Research, vol. 8, pp. 149–162 (2008)
4.
Zurück zum Zitat Juha, P., Miikka, E., Panu, K., Jani, M., Johannes, P., Ilkka, K.: Activity classification using realistic data from wearable sensors. IEEE Trans. Inf. Technol. Biomed. 10(1), 119–128 (2006)CrossRef Juha, P., Miikka, E., Panu, K., Jani, M., Johannes, P., Ilkka, K.: Activity classification using realistic data from wearable sensors. IEEE Trans. Inf. Technol. Biomed. 10(1), 119–128 (2006)CrossRef
5.
Zurück zum Zitat Miikka, E., Juha, P., Panu, K., Jani, M., Ilkka, K.: Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. IEEE Trans. Inf. Technol. Biomed. 12(1), 20–26 (2008)CrossRef Miikka, E., Juha, P., Panu, K., Jani, M., Ilkka, K.: Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions. IEEE Trans. Inf. Technol. Biomed. 12(1), 20–26 (2008)CrossRef
6.
Zurück zum Zitat Kurniawan, H., Maslov, A.V., Pechenizkiy, M.: Stress detection from speech and galvanic skin response signals. In: IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), pp. 209–214 (2013) Kurniawan, H., Maslov, A.V., Pechenizkiy, M.: Stress detection from speech and galvanic skin response signals. In: IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), pp. 209–214 (2013)
7.
Zurück zum Zitat de Santos Sierra, A., Avila, C.S., Bailador del Pozo, G., Guerra Casanova, J.: Stress detection by means of stress physiological template. In: Nature and Biologically Inspired Computing (NaBIC), pp. 131–136 (2011) de Santos Sierra, A., Avila, C.S., Bailador del Pozo, G., Guerra Casanova, J.: Stress detection by means of stress physiological template. In: Nature and Biologically Inspired Computing (NaBIC), pp. 131–136 (2011)
8.
Zurück zum Zitat Juha, P., Luc, C., Miikka, E.: Personalization algorithm for real-time activity recognition using PDA, wireless motion bands, and binary decision tree. IEEE Trans. Inf. Technol. Biomed. 14(5), 1211–1215 (2010)CrossRef Juha, P., Luc, C., Miikka, E.: Personalization algorithm for real-time activity recognition using PDA, wireless motion bands, and binary decision tree. IEEE Trans. Inf. Technol. Biomed. 14(5), 1211–1215 (2010)CrossRef
9.
Zurück zum Zitat González, F.C.J., et al.: Smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality. Sensors 14, 17212–17234 (2014)CrossRef González, F.C.J., et al.: Smart multi-level tool for remote patient monitoring based on a wireless sensor network and mobile augmented reality. Sensors 14, 17212–17234 (2014)CrossRef
10.
Zurück zum Zitat Sahoo, R., Sethi, S.: Functional analysis of mental stress based on physiological data of GSR sensor. AISC Series of Springer CSI-2014, Hyderabad (2014) Sahoo, R., Sethi, S.: Functional analysis of mental stress based on physiological data of GSR sensor. AISC Series of Springer CSI-2014, Hyderabad (2014)
11.
Zurück zum Zitat Fenz, W.D., Epstein, S.: Gradients of a physiological arousal of experienced and novice parachutists as a function of an approaching jump. Psychosom. Med. 29, 33–51 (1967)CrossRef Fenz, W.D., Epstein, S.: Gradients of a physiological arousal of experienced and novice parachutists as a function of an approaching jump. Psychosom. Med. 29, 33–51 (1967)CrossRef
Metadaten
Titel
Remotely Functional-Analysis of Mental Stress Based on GSR Sensor Physiological Data in Wireless Environment
verfasst von
Ramesh Sahoo
Srinivas Sethi
Copyright-Jahr
2015
Verlag
Springer India
DOI
https://doi.org/10.1007/978-81-322-2247-7_58

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