Stress Assesment based on Bio-Signals using Random Forest Algorithm 


Vol. 35,  No. 1, pp. 62-69, Feb.  2020
10.14346/JKOSOS.2020.35.1.62


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  Abstract

Most people suffer from stress during day life because modernized society is very complex and changes fast. Because stress can affect to many kind of physiological phenomena it is even considered as a disease. Therefore, it should be detected earlier, then must be released. When a person is being stressed several bio-signals such as heart rate, etc. are changed. So, those can be detected using medical electronics techniques. In this paper, stress assessment system is studied using random forest algorithm based on heart rate, RR interval and Galvanic skin response. The random forest model was trained and tested using the data set obtained from the bio-signals. It is found that the stress assessment procedure developed in this paper is very useful.

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  Cite this article

[IEEE Style]

임태균, 허정헌, 정규원, 김혜리, "Stress Assesment based on Bio-Signals using Random Forest Algorithm," Journal of the Korean Society of Safety, vol. 35, no. 1, pp. 62-69, 2020. DOI: 10.14346/JKOSOS.2020.35.1.62.

[ACM Style]

임태균, 허정헌, 정규원, and 김혜리. 2020. Stress Assesment based on Bio-Signals using Random Forest Algorithm. Journal of the Korean Society of Safety, 35, 1, (2020), 62-69. DOI: 10.14346/JKOSOS.2020.35.1.62.

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