DEVELOPMENT OF AN IOT SYSTEM FOR STUDENTS' STRESS MANAGEMENT

Branka Rodić-Trmčić, Aleksandra Labus, Zorica Bogdanović, Marijana Despotović-Zrakić, Božidar Radenković

DOI Number
10.2298/FUEE1803329R
First page
329
Last page
342

Abstract


This paper shows the development of an IoT system for students' stress management. The IoT system is developed in an open architecture and is an integral part of the educational ecosystem. The system is composed of two elements: the one that enables measurement of vital parameters for identifying stress in students, and the other for stress control. The system for stress control consists of a mobile health application featuring relaxation content. Such system should minimize the excitement and have an impact on reducing future stress. The IoT system for stress management was evaluated in a real environment, during students’ thesis defense on Faculty of Organizational Sciences, University of Belgrade. The results show that time spent using mobile health application with relaxing content can reduce students’ physiological arousal and excitement during thesis defense.


Keywords

Internet of Things, wearable computing, stress management, education, students

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References


B. Rodic-Trmcic, A. Labus, S. Mitrovic, V. Buha and G. Stanojevic, “Internet of things in E-health: an application of wearables in prevention and well-being,” in Emerging Trends and Applications of the Internet of Things, IGI Global, 2017, pp. 191-197.

Q. Li, Y. Xue, L. Zhao, J. Jia and L. Feng, “Analyzing and Identifying Teens Stressful Periods and Stressor Events from a Microblog,” IEEE Journal of Biomedical and Health Informatics, vol. PP, no. 99, pp. 1-1, 2016.

N. Sohail, “Stress and Academic Performance Among Medical Students,” Journal of the College of Physicians and Surgeons Pakistan, vol. 23, no. 1, pp. 67-71, 2013.

M. S. Ali and M. N. Mohsin, “Test Anxiety Inventory (TAI): Factor Analysis and Psychometric Properties,” IOSR Journal Of Humanities And Social Science (IOSR-JHSS), vol. 8, no. 1, pp. 73-81, 2013.

Y. Fu and J. Liu, “System design for wearable blood oxygen saturation and pulse measurement device,” in Proceedings of the 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, AHFE 2015, 2015.

Suunto, “SUUNTO Foot Pod Mini,” 01 November 2015. [Online]. Available: http://www.suunto.com.

BASIS Science, 02 November 2015. [Online]. Available: http://www.mybasis.com/.

A. Millings, J. Morris, A. Rowe, S. Easton, J. K. Martin, D. Majoe and C. Mohr, “Can the effectiveness of an online stress management program be augmented by wearable sensor technology?,” Internet Interventions, vol. 2, no. 3, pp. 330-339, 2015.

A. Parnandi and R. Gutierrez-Osuna, “Physiological Modalities for Relaxation Skill Transfer in Biofeedback Games,” IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 2, pp. 361-371, 2017.

S. Saeb, M. Zhang, C. Karr, S. Schueller, M. Corden, K. Kording and D. Mohr, “Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study,” J Med Internet Res, vol. 17, no. 7, p. e175, 2015.

H. Al Osman, H. Dong and A. El Saddik, “Ubiquitous Biofeedback Serious Game for Stress Management,” IEEE Access, pp. 1274-1286, 2016.

M. A. Zafar, B. Ahmed and R. Gutierrez-Osuna, “Playing with and without Biofeedback,” in Proceedings of the IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH), 2017, Perth, 2017.

A. Ahtinen, E. Mattila, P. Välkkynen, K. Kaipainen, T. Vanhala, M. Ermes, E. Sairanen, T. Myllymäki and R. Lappalainen, “Mobile Mental Wellness Training for Stress Management: Feasibility and Design Implications Based on a One-Month Field Study,” JMIR Mhealth Uhealth, vol. 1, no. 2, p. e11, 2013.

S. Falan, “Wearable Technology: Examples from Sweden,” 2016. [Online]. Available: http://salusdigital.net/

wearable-technology-examples-sweden/.

F. Arriba-Pérez, M. Caeiro-Rodríguez and J. M. Santos-Gago, “Towards the use of commercial wrist wearables in education,” in Proceedings of the 4th Experiment@International Conference (exp.at'17), 2017, Faro, 2017.

T. Dragon, I. Arroyo, B. P. Woolf , W. Burleson, R. Kaliouby and H. Eydgahi, “Viewing Student Affect and Learning through Classroom Observation and Physical Sensors,” in Intelligent Tutoring Systems, Berlin, Springer Berlin Heidelberg, 2008, pp. 29-39.

L. T. Ping, K. Subramaniam and S. Krishnaswamy, “Test anxiety: state, trait and relationship with exam,” Malaysian Journal of Medical Sciences, vol. 15, no. 2, pp. 18-23, 2008.

L. Shen, M. Wang and R. Shen, “Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment,” Educational Technology & Society, vol. 12, no. 2, pp. 176-189, 2009.

M. Kusserow, O. Amft and G. Tröster, “Monitoring Stress Arousal in the Wild,” Pervasive Computing, IEEE, vol. 12, no. 2, pp. 28-37, 2013.

R. Kocielnik, M. Pechenizkiy and N. Sidorova, “Stress Analytics in Education,” in Proceedings of the 5th International Conference on Educational Data Mining, Chania, Greece, 2012.

A. Joshi, R. Kiran and A. N. Sah, “An experimental analysis to monitor and manage stress among engineering students using Galvanic Skin Response meter,” Work, vol. 56, no. 3, pp. 409-420, 2017.

World Famous Electronics llc., “Pulse Sensor Amped,” 2017. [Online]. Available: https://pulsesensor.com/.

M. Chen, Y. Zhang, Y. Li, M. M. Hassan and A. Alamri, “AIWAC: affective interaction through wearable computing and cloud technology,” IEEE Wireless Communications, vol. 22, no. 1, pp. 20-27, 2015.

J. J. Alvarsson, S. Wiens and M. E. Nilsson, “Stress Recovery during Exposure to Nature Sound and Environmental Noise,” Int J Environ Res Public Health, vol. 7, no. 3, p. 1036–1046, 2010.

W.-C. Wang, “A study of the type and characteristics of relaxing music for college students,” in Proceedings of Meetings on Acoustics, Providence, Rhode, 2014.

D. C. Spielberger, “Test Anxiety Inventory: Preliminary Professional Manual,” Consulting Psychologists Press, 1980.

M. Y. Kwan, K. P. Arbour-Nicitopoulos, E. Duku and G. Faulkner, “Patterns of multiple health risk–behaviours in university students and their association with mental health: application of latent class analysis,” Health Promot Chronic Dis Prev Can, vol. 36, no. 8, p. 163–170, 2016.

E. Saperova and D. Dimitriev, “Effects of smoking on heart rate variability in students (545.6),” The FASEB Journal, vol. 28, no. 1, pp. 545-6, 2014.


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