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This paper introduces a novel and unobtrusive wearable monitoring device to be used for stress recognition. The paper offers details on the hardware design as well as on the software processes needed to classify between calm and stressed subjects. Only one physiological variable, the electrodermal activity, is used in this work. Moreover, the experimentation, training and testing of the mathematical classification model are also provided. A correctness of 82.5% is achieved by the combination of three skin conductivity response features. It is also interesting to highlight that the proposed approach reports a sensitivity of 89% when differentiating stressed from calm people.
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