Abstract
This paper introduces a software framework denominated ARISTARKO. ARISTARKO has been designed and developed to integrate the data acquisition from a wearable physiological data acquisition device with any necessary processing layers in order to classify the acquired signals into a predefined set of emotional states. In this particular article, we use ARISTARKO for the sake of designing an experiment capable of showing a series of images from the well-known IAPS database. The IAPS pictures are labelled with arousal, valence and dominance values. Arousal is classified from the information contained in the database and the physiological signals acquired by the wearable, namely electro-dermal, electrocardiogram and superficial electromyogram activity, and skin temperature.
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Martínez-Rodrigo, A., Pastor, J.M., Zangróniz, R., Sánchez-Meléndez, C., Fernández-Caballero, A. (2016). ARISTARKO: A Software Framework for Physiological Data Acquisition. In: Lindgren, H., et al. Ambient Intelligence- Software and Applications – 7th International Symposium on Ambient Intelligence (ISAmI 2016). ISAmI 2016. Advances in Intelligent Systems and Computing, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-40114-0_24
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DOI: https://doi.org/10.1007/978-3-319-40114-0_24
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