Framework for the Detection of Physiological Parameters with Musical Stimuli Based on IoT
| Autor: | María N. Moreno, Ana B. Gil-González, Ana de Luis Reboredo, Belén Pérez-Lancho, Mario Alcántara-Garrote |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
020901 industrial engineering & automation Computer science Human–computer interaction business.industry 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology Musical State (computer science) Internet of Things business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030200541 SOCO |
| DOI: | 10.1007/978-3-030-20055-8_11 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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