Browse > Article

Human Stress Monitoring through Measurement of Physiological Signals  

Natsagdorj, Ulziibayar (Department of Electronic Engineering, Pukyong National University)
Moon, Kwang-Seok (Department of Electronic Engineering, Pukyong National University)
Park, Hanhoon (Department of Electronic Engineering, Pukyong National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.20, no.1, 2019 , pp. 9-15 More about this Journal
Abstract
As the human population increases in the world, the ratio of health doctors is rapidly decreasing. Therefore, it is an urgent need to create new technologies to monitor the physical and mental health of people during their daily life. In particular, negative mental states like depression and anxiety are big problems in modern societies. Usually this happens due to stressful situations during everyday activities including work. This paper presents a machine learning approach to reliably estimating the level of human mental stress using wearable physiological sensors. And also, this paper presents an Android- and Arduino-based stress monitoring and relief system.
Keywords
Arduino based stress detection; physiological sensors; human mental stress estimation; stress level analysis; stress monitoring application; stress relief application;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 B. W. Kang and S. H. Kim, "A development of non-invasive body monitoring IoT sensor for smart silver healthcare," Journal of the Institute of Convergence Signal Processing, vol. 19, no. 1, pp. 28-34, 2018.
2 J.-H. Kim, Y.-H. Noh, D.-U. Jeong, "Implementation of real-time heart activity monitoring system using heart sound," Journal of the Institute of Convergence Signal Processing, vol. 19, no. 1, pp. 14-19, 2018.
3 M. Wingo, The Impact of the Human Stress Response: The Biologic Origins of Human Stress, Roxwell Waterhouse, 2006.
4 U. Natsagdorj, K.-S. Moon, and H. Park, "Human stress monitoring system using physiological sensors," Proc. of Fall Conference of Korea Institute of Convergence Signal Processing, pp. 73-74, 2018.
5 R. H. Westgaard and J. Winkel, "Occupational musculoskeletal and mental health: significance of rationalization and opportunities to create sustainable production systems - a systematic review," Appl. Ergon., vol. 42, no. 2, pp. 261-296, 2011.   DOI
6 E. Kaniusas, Biomedical Signals and Sensors I: Linking Physiological Phenomena and Biosignals, Springer Science & Business Media, 2012.
7 S. Edwards, The Heart Rate Monitor Book for Cyclists: A Heart Zones Training Program, 2nd Ed., Velo Press, 2002.
8 DASS, http://www2.psy.unsw.edu.au/dass/.
9 International Stress Management Association UK - 2016, https://isma.org.uk/.
10 T. F. Geithner, Stress Test: Reflections on Financial Crises, Crown Publishing Group, 2014.