Control of Smart Environments Using Brain Computer Interface Based on Genetic AlgorithmVisa övriga samt affilieringar
2016 (Engelska)Ingår i: Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349, Vol. 9622, s. 773-781Artikel i tidskrift (Refereegranskat) Published
Abstract [en]
This work deals with the development of an interface to control a smart conference room using passive BCI (Brain Computer Interface). It compares a genetic algorithm developed in a previous project to control the smart conference room with a random control algorithm. The system controls features of the conference room such as air conditioner, lightning systems, electric shutters, entertainment devices, etc. The parameters of the algorithm are extracted from users biosignal using Emotiv Epoc Headset while the user performs an attention test. The tests indicate that the decisions made by the genetic algorithm lead to better results, but in a single execution cannot be considered an effective optimization algorithm. © Springer-Verlag Berlin Heidelberg 2016.
Ort, förlag, år, upplaga, sidor
Berlin/Heidelberg: Springer Berlin/Heidelberg, 2016. Vol. 9622, s. 773-781
Nyckelord [en]
Genetic algorithm, Smart environment, Brain computer interface, Emotive, EEG
Nationell ämneskategori
Reglerteknik
Identifikatorer
URN: urn:nbn:se:hh:diva-32133DOI: 10.1007/978-3-662-49390-8_75ISI: 000389381200075Scopus ID: 2-s2.0-84961164411Libris ID: 19421944OAI: oai:DiVA.org:hh-32133DiVA, id: diva2:1015019
Konferens
8th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2016), Da Nang, Vietnam, 14-16 March, 2016
Anmärkning
Funding: Home Systems Company, and the Brazilian research agencies Capes (project PROCAD), FINEP (project CRIAI) & CNPq
2016-10-032016-10-032018-03-23Bibliografiskt granskad