ARISTARKO: A Software Framework for Physiological Data Acquisition

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.

Influence of Tempo and Rhythmic Unit in Musical Emotion Regulation

“…The project's general objective is to find solutions for improving the quality of life and care of aging people who wish to continue living at home with the aid of emotion elicitation techniques. Cameras and body sensors are used for monitoring the aging adults' facial and gestural expression (Lozano-Monasor et al, 2014 ), activity and behavior (Castillo et al, 2014a ), as well as for acquiring relevant physiological data (Costa et al, 2012 ; Fernández-Caballero et al, 2012 ; Martínez-Rodrigo et al, 2016 ). By using advanced monitoring techniques, the older people's emotions should be inferred and recognized.…”