Paper Info
Title
Framework for the Detection of Physiological Parameters with Musical Stimuli Based on IoT.
Abstract
Music is a universal language present in all cultures throughout history, and its influence on human psychology is amply demonstrated. Music provides a direct link to emotions. Numerous investigations study the relationship between musical characteristics and physiological parameters produced or even induced. This paper presents the development of a framework that includes support for sensorization infrastructure based on IO technologies. The tool allows to monitor in real time the physiological response of the user to musical stimuli and to store such data. In this way, external stimuli, as well as fluctuations in the physiological response, can be treated and analysed and, ultimately, the emotional state of the user can be determined.
Year
DOI
Venue
2019
10.1007/978-3-030-20055-8_11
14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Keywords
Field
DocType
Emotions recognition,Physiology,Biosignal acquisition,Musical stimulation,MQTT protocol,Sensorization,Wearable
Wearable computer,Computer science,Musical,Internet of Things,Human–computer interaction,Universal language,Artificial intelligence,Stimulus (physiology),MQTT,Machine learning
Conference
Volume
ISSN
Citations 
950
2194-5357
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Mario Alcántara-Garrote100.34
Ana B. Gil González2152.37
Ana de Luis-Reboredo301.35
María N. Moreno García414826.06
Belén Pérez Lancho5938.69