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

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.

[1]  P. A. Vijaya,et al.  Galvanic Skin Response: A Physiological Sensor System for Affective Computing , 2013 .

[2]  K. Glanz,et al.  Stress, coping, and health behavior. , 2008 .

[3]  W D Fenz,et al.  Gradients of Physiological Arousal in Parachutists as a Function of an Approaching Jump , 1967, Psychosomatic medicine.

[4]  Juha Pärkkä,et al.  Personalization Algorithm for Real-Time Activity Recognition Using PDA, Wireless Motion Bands, and Binary Decision Tree , 2010, IEEE Transactions on Information Technology in Biomedicine.

[5]  Ilkka Korhonen,et al.  Detection of Daily Activities and Sports With Wearable Sensors in Controlled and Uncontrolled Conditions , 2008, IEEE Transactions on Information Technology in Biomedicine.

[6]  Osslan Osiris Vergara-Villegas,et al.  Smart Multi-Level Tool for Remote Patient Monitoring Based on a Wireless Sensor Network and Mobile Augmented Reality , 2014, Sensors.

[7]  Johannes Peltola,et al.  Activity classification using realistic data from wearable sensors , 2006, IEEE Transactions on Information Technology in Biomedicine.

[8]  M. H. Schut,et al.  Computing emotion awareness through galvanic skin response and facial electromyography , 2008 .

[9]  Mykola Pechenizkiy,et al.  Stress detection from speech and Galvanic Skin Response signals , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[10]  Srinivas Sethi,et al.  Functional Analysis of Mental Stress Based on Physiological Data of GSR Sensor , 2015 .

[11]  K. Glanz,et al.  Health behavior and health education : theory, research, and practice , 1991 .

[12]  Gonzalo Bailador,et al.  Stress detection by means of stress physiological template , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.