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Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware

Authors : Unai Zalabarria, Eloy Irigoyen, Raquel Martínez, Javier Arechalde

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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Abstract

This work presents a hardware and software solution that implements algorithms based on intelligent computing techniques for estimating the stress level using low cost platforms. These algorithms process the acquired physiological signals directly from the sensors using advanced filtering and processing techniques and algorithms based on fuzzy logic. For this purpose, a hardware configuration based on the Arduino Uno and Raspberry Pi 3 platforms has been chosen. These platforms perform the acquisition, processing and upload of the data to a server via WiFi. In the implementation of the server a configuration based on Linux, Apache, MySQL and PHP (LAMP) has been carried out. The parameters used to estimate the stress level derive from the following physiological signals: the electrocardiogram (ECG) and the galvanic skin response (GSR).

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Metadata
Title
Acquisition and Fuzzy Processing of Physiological Signals to Obtain Human Stress Level Using Low Cost Portable Hardware
Authors
Unai Zalabarria
Eloy Irigoyen
Raquel Martínez
Javier Arechalde
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_7

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