ARISTARKO: A Software Framework for Physiological Data Acquisition

被引：2

作者：

Martinez-Rodrigo, Arturo ^{[1
]}

Manuel Pastor, Jose ^{[1
]}

Zangroniz, Roberto ^{[1
]}

Sanchez-Melendez, Cesar ^{[1
]}

Fernandez-Caballero, Antonio ^{[2
]}

机构：

[1] Univ Castilla La Mancha, Inst Tecnol Audiovisuales, Cuenca 13071, Spain

[2] Univ Castilla La Mancha, Inst Invest Informat, Albacete 02071, Spain

来源：

AMBIENT INTELLIGENCE - SOFTWARE AND APPLICATIONS (ISAMI 2016) | 2016年 / 476卷

关键词：

Wearable; Physiological data; Software framework; EDA; ECG; EMG; SKT;

D O I：

10.1007/978-3-319-40114-0_24

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：215 / 223

页数：9

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