This paper present stress level measurements using heart rate variability (HRV) analysis on an android based application. Stress level usually measured using a subjective methodology to extract perception of stress. We use HRV to extract the real existence of stress via observing the stress impact to the autonomic nervous system (ANS). Ten subjects participated in this study. Linear and nonlinear analysis of HRV was performed. The results shows that subjects with higher stress level have higher HRV. We use the results to build a simple classifier model for classification resulting 70% accuracy using only linear analysis HRV parameter.

Original languageEnglish
Pages (from-to)189-197
Number of pages9
JournalProcedia Computer Science
Publication statusPublished - 2021
Event6th Information Systems International Conference, ISICO 2021 - Virtual, Online, Italy
Duration: 7 Aug 20218 Aug 2021


  • Classification
  • HRV parameter
  • Stress level


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