Stress conditions experienced by the driver is a serious problem in road safety. Driver error is the most common cause of road accidents. In this paper skin conductance is taken for analysis of driver drowsiness fatigue and mental stress. In order to minimize human error while driving it monitors stress and fatigue by measuring physiological parameters like skin acting like a conductor gives a response also called as Galvanic skin response and the motion is continuously monitored over a period of time. Internet of Things (IOT) based sensor used in driver’s health care is novel approach from the classical ways that includes visiting hospitals for clinical procedure and constant supervision of the person. It connects the health care professionals with the driver through smart device to monitor vitals without affecting the freedom of movement of the driver. This chapter introduces a viewof IOT functionality and its application with the sensing and wireless technique for implementing the required stress monitoring system for drivers. Further the Captured data is sent to an IOT Cloud Where Machine learning algorithms were deployed for computing the percentage of alertness and stress if the stress levels go beyond the threshold levels, then alert signal is sent to the driver from buzzer.

[1] L. M. Bergasa,J. Nuevo, M. A. Sotelo,R. Barea, and M. E. Lopez, “Real time system for monitoring driver vigilance “, IEEE Trans. Intell. Transp. Syst.., vol. 7, no.1, pp. 63-77, mar. 2006. [online] Available : Http://ieeexplore.ieee.org/xpls/aba_all.jsp?arnumber=1603553&tag=1

[2] G.Li and W. Y. Chung, “Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier”, Sensors, vol.13, no.12, pp. 16494-16511, dec.2013. [Online]. Available :Http://www.mdpi.com /1424-8220/13/12/16494

[3] A. Sahayadhas, K.Sundaraj and M. Murugappan, “Detecting driver drowsiness based on sensors: A review “,Sensors , vol. 12, no. 12, pp. 16937-16953, Dec. 2012. [online]. Available :Http://www.mdpi.com /1424-8220/12/12/16937/htm.

[4] J.D.Hill and L.N. Boyle, “Driver stress as influenced by driving maneuvers and roadways condition, “ Tranp. Res. F,Traffic Psychol. Behavior, vol. 10, no.3, pp. 177-186, May 2007. [online] Available: Http://www.sciencedirect.com/science/article/pii/s1369847806000817

[5] E. Andreouet al.., ”precevied stress scale: Reliability and validity study in Greece, “ Int.J.Environ. Res. Public Health, vol. 8, no.1, pp. 3287-3298, Aug. 2011. [online]. Available :Http://www.psy.cmu.edu/~/Greece.pdf.

[6] Z.Mardi, S. N. M. Ashtiani, and M. Mikaili, “ EEG- based drowsiness detection for safe driving using chaotic features and statistical test ,” J.Med.Signals Sens.., vol. 1, no. 2, pp. 130-137, aug.2011. [online]. Available: Http://www.ncbi.nlm.nih.gov/pobmed /22606668.

[7] J.Wijisman, B.Grundlehner, J.Penders and H.Hermens,”Tranpez-ius muscle EMG as predictor of mental stress ,” in Proc. Wireless Health (WH), 2010, pp. 155- 163.

[8] R.Luijcks, H.J.Hermens, L. Bodar,C.J.Vossen ,J.Van. OS, and R. Lousberg, “Experimentally induced stress validated by EMG activity ,” PLoS ONE , vol. 9, no.4, pp.95215, apr. 2014. [online]. Available: Http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0095215 .

[9] C.SchieBl, “Stress and strain while driving ,” in Proc. Eur. Conf.Transp. Res. Inst., 2007, pp. 1-11.

[10] A. Lanataet al., “How the autonomic nervers system and driving style change with incrementel stressing conditional during simulated driving,” IEEE Trans. Intell. Transp. Syst.., bvol.16, no. 3, pp. 1505-1517, jan. 2015. [online]. Available : Http://www.centripiaggio.unipi.it/sites/default/files/2015_lanata_etal_ieee_tinttrspsys_driving.pdf .

[11] H.Gao , A. Yuce, and J.P.Thiran , “Detection emotional stress from facial expression for driveing safety, " in Proc. IEEE Int. Conf. Image Process. (ICIP), Paris, France, 2014 , PP. 5961- 5965.

[12] M.Singh and A.B. Queyam ,”Stress detection in automoiledrivers using physiological parameters: A review, “ Int. J.Eng. Educ..,vol. 5, no.2, PP. 1-5 ,Dec.2013 [online]. Available: Http://www.researchgate.net/publication/281618779_stress_detection_in automobile_drivers_using_publication/281618779_stress_detection_in_automobile_drivers_using_Physiologial_parameter_A_review.

[13] J.A.Healey and R.W.Picard, “Detecting stress during real-world driving tasks using physiological sensors, “IEEE Trans .Intell. Transp. Syst., vol.6, no. 2, pp. 156-166, Jun. 2015 .[online]. Available: Http://ieeexplore.ieee.org/xpls/aba_all.jsp?arnumber=1438384&tag=1

[14] P. Joosen, V.Exadaktylos, and D.Berckmans, “An investigation on metal stress profileing of race car driver during a race, “ in Proc., IEEE 12thInt . Conf. Wearable implant. Body sensors netw.,Cambridge, MA, USA, Jun. 2015, pp. 1-4.

[15] F.T. Sun ,C.Kuo ,H.T. Cheng, S. Buthpitiya , P. Collins, and M.Griss, “Activity aware mental stress detection using Physiological ssensors,” in mobile computing ,Application ,and Services, vol.76, Berlin, Germany: springer , jan.2010 , pp. 211-230. [online]. Available: Http://link.springer.com/chapter/10.1007%2F978-3-642-29336-8-12.

[16] B.Hema, and V.Gopi ,” A novel awareness and alert implementation on biometric authentication in moving vehiche, “ Int. J. IT Eng., vol.1, no.1, pp. 13-28, may 2013. [online]. Available: Http://ijmr.net.in/download.php? Filename= IQon m0srunry3or.pdf&new= paper-2-1.pdf.

[17] L.Wei ,S.C.Mukhopadhyay, R.Jidin, and C.P.Chen, “Multi-sources information fusion for drowsy driving detection based on wireless sensors network,” in Proc. 7thInt.Conf. Sens. Technol., Wellington, new Zealand ,Dec. 2013, pp. 850-857.

[18] R.NKhushaba , S. Kodagoda, S. Lal , and G.Dissanake, “Driver drowsiness classification using fuzzy wavelet- packet based features-extraction algorithms ,”IEEE Trans Biomed. Eng., vol.58, no.1, pp. 121-131,jan. 2011. [online]. Available:

[19] Adafruit BNO055 Absolute Orientation Sensor ,accessed on Apr. 4,2016 . [online]. Available: Http://learn.adafrruit.com/adafruit-bno055- absolute orienation-sensor/overview

[20] FLORA-Werable Electronic Platform: Arduino Compatiable, accessed on apr .4 , 2016. [online]. Available: Http://www.adafruit.com/product/659.

[21] Adafruits FLORA bluefruit LE, accessed on apr .4 , 2016. [online]. Available: Http://learn.adafruit.com/adafruit-flora-bluefruit-le/overview.

[22] J.Sobhani , M. Khanzadi, and A. M. Attar, “ Suooort vector machine for prediction of the compression strength of the no-stump concrete, “Comp. Concrete, vol. 11, no. 4, pp.337-350, apr . 2013. [online]. Available: Http:// www.researchgate.net/publication/25834525-support-vector-machine-for-prediction-of-the-compression-strenght_of¬no¬_stump_concrete.

[23] Euro Truck Simulator 2, accessed on Aug. 24, 2016. [Online]. Available: http://www.eurotrucksimulator2.com/

[24] A. M. Shin et al., "Diagnostic analysis of patients with essen- tial hypertension using association rule mining," Healthe Inform. Res., vol. 16, no. 2, pp. 77-81, Jun. 2010. [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/21818427

[25] N. Sharma and T. Gedeon, "Objective measures, sensors and computational techniques for stress recognition and classification: A survey." Comput. Methods Programs Biomed., vol. 108, no. 3, pp. 1287-1301, Dec. 2012. [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/22921417

[26] M. Euston, P. Coote, R. Mahony, J. Kim, and T. Hamel, "A comple- mentary filter for attitude estimation of a fixed-wing UAV," in Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst. (IROS), Nice, France, Sep. 2008 pp. 340-345.

[27] B.-G. Lee, B.-L. Lee, and W.-Y. Chung, "Wristband-type driver vigi- lance monitoring system using smartwatch," IEEE Sensors J.. vol. 15. no. 10, PP. 5624-5633, Oct. 2015. [Online]. Available: http://ieeexplore. ieee.org/xpl/article Details.jsp?reload=true&arnumber=7131432

[28] A. Hashemi, V. Saba, and S. N. Resalat, "Real time driver's drowsiness detection by processing the EEG signals stimulated with external flickering light," Basic Clin. Neurosci., vol. 5, no. 1, pp. 22-27, Dec. 2014. [Online]. Available: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4202601/

[29] C. L. Lim et al., "Decomposing skin conductance into tonic and phasic components," Int. J. Psychophys., vol. 25, no. 2, pp. 97 109. Feb. 1997. [Online]. Available: http://www.ncbi.nlm.nih.gov/pubmed/9101335

[30] B.-G. Lee, B.-L. Lee, and W.-Y. Chung, "Mobile healthcare for auto-matic driving sleep-onset detection using wavelet-based EEG and res- piration signals," Sensors, [Online]. Available:http://www.ncbi.nlm.nih.gov/pubmed/25264954 vol. 14, no. 1, pp. 17915-17936, Sep. 2014.

[31] E. Garcia-Ceja, V. Osmani, and O. Mayora, "Automatic stress detection in working environments from smartphones' accelerometer data: A first step," IEEE J. Biomed. Health Inform., vol. 20, no. 4, pp. 10531060,Jul.2016.[Online]. Available:http://leeexplore.ieee.org/document/7124404/?arnumber=7124404

[32].Solanki, V.K., Katiyar S., BhashkarsemwaL , V.Dewan, P., Venkatesan, M., & DEY,N.(2016).advanced automated module for smart and secure city.procedia computer science,78,367-374.

[33] Bhatt,C., dey, N.,& Ashour, A.S. (2017). internet of things and big date technologies for next generation healthcare.

[34] AI Mushcab, H., Curran, K., & Doherty, J.(2012) an activity monitoring application for windows mobile devices. in innovative applications of ambient intelligences: advances in smart systems, (pp. 139-156) Hershey:igi global.

[35] Higgins,. (2006) .wireless communication . in G.Z.Yang (ed) , body sensor network (pp. 117-143).london springer.

[36] KedriJanardhana, Brahmadesam Viswanathan Krishna, Vijayaragavan, Kareemullah H (2021/5/2).Amalgamated Approach for Identification of Bone Tumor by Using Magnetic Resonance Imaging (pp. 516-524).Annals of the Romanian Society for Cell Biology.

[37] H Kareemullah, N Janakiraman, P Nirmal Kumar. (2017) .A survey on embedded reconfigurable architectures (pp. 1500-1504)international conference on communication and signal processing (iccsp).