Stress Detection Using Wearable Physiological and Sociometric Sensors

@article{Mozos2017StressDU,
  title={Stress Detection Using Wearable Physiological and Sociometric Sensors},
  author={{\'O}scar Mart{\'i}nez Mozos and Virginia Sandulescu and Sally Andrews and David Ellis and Nicola Bellotto and Radu Dobrescu and Jos{\'e} Manuel Ferr{\'a}ndez},
  journal={International journal of neural systems},
  year={2017},
  volume={27 2},
  pages={1650041}
}
Stress remains a significant social problem for individuals in modern societies. This paper presents a machine learning approach for the automatic detection of stress of people in a social situation by combining two sensor systems that capture physiological and social responses. We compare the performance using different classifiers including support vector machine, AdaBoost, and [Formula: see text]-nearest neighbor. Our experimental results show that by combining the measurements from both… CONTINUE READING
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