Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/32105
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Silva, Fábio | por |
dc.contributor.author | Olivares, Teresa | por |
dc.contributor.author | Royo, Fernando | por |
dc.contributor.author | Vergara, M. A. | por |
dc.contributor.author | Analide, César | por |
dc.date.accessioned | 2014-12-16T16:54:56Z | - |
dc.date.available | 2014-12-16T16:54:56Z | - |
dc.date.issued | 2013-06 | - |
dc.identifier.isbn | 9783642386213 | por |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://hdl.handle.net/1822/32105 | - |
dc.description | "Natural and artificial computation in engineering and medical applications : 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Mallorca, Spain, June 10-14, 2013. Proceedings, Part II", ISBN 978-364238621-3 | por |
dc.description.abstract | This paper combines techniques of ambient intelligence and wireless sensor networks with the objective of obtain important conclusions to increase the quality of life of people. In particular, we oriented our study to the stress at the workplace, because stress is a leading cause of illness and disease. This article presents a wireless sensor network obtaining information of the environment, a pulse sensor obtaining hear rate values and a complete data analysis applying techniques of ambient intelligence to predict stress from these environment variables and people attributes. Results show promise on the identification of stressful situations as well as stress inference through the use of predictive algorithms | por |
dc.description.sponsorship | (undefined) | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | openAccess | por |
dc.subject | Ambient intelligence | por |
dc.subject | Intelligent environments | por |
dc.subject | Wireless sensor networks | por |
dc.subject | Body area networks | por |
dc.subject | Environmental monitoring | por |
dc.subject | Stress detection | por |
dc.title | Experimental study of the stress level at the workplace using an smart testbed of wireless sensor networks and ambient intelligence techniques | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://link.springer.com/chapter/10.1007%2F978-3-642-38622-0_21 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 200 | por |
oaire.citationEndPage | 209 | por |
oaire.citationIssue | PART 2 | por |
oaire.citationConferencePlace | Mallorca, Spain | por |
oaire.citationTitle | Lecture notes in computer science | por |
oaire.citationVolume | 7931 | por |
dc.identifier.doi | 10.1007/978-3-642-38622-0_21 | por |
sdum.journal | Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | por |
sdum.conferencePublication | Lecture notes in computer science | por |
Aparece nas coleções: | CCTC - Artigos em revistas internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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iwinac2013-prefinal.pdf | pre-final | 436,14 kB | Adobe PDF | Ver/Abrir |