Publication
Towards a Minimalistic Stress Classification Method Based on HRV
Roswitha Duwenbeck; Elsa Andrea Kirchner
In: The Sixteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services CENTRIC 2023. International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services (CENTRIC-2023), November 13-17, Valencia, Spain, ThinkMind, 11/2023.
Abstract
Stress is a feeling of emotional and physical tension,
that poses as a risk factor in many diseases, for example
the nervous, musculoskeletal, cardiovascular or gastrointestinal
system. Fast and easy detection could be a first step in order
to help people manage their stress-levels. This paper depicts an
ongoing work in the domain of stress prediction with Heart Rate
Variability related features by classifying two different levels on
the Stress-Predict Dataset. The performance of different clas-
sifiers was tested with Leave-One-Subject-Out Cross Validation
and compared to each other. The best performance was reached
with the Aggregated Mondrian Forest Classifier and a mean
balanced accuracy of 97.87%.