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Study of a Tiredness Identification System

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dc.contributor.author MILICI, Dan Laurențiu
dc.contributor.author GRAUR, Adrian
dc.contributor.author POIENAR, Mihaela
dc.contributor.author CENUȘĂ, Mihai
dc.contributor.author BARASCU, Andrei
dc.date.accessioned 2019-11-25T13:41:54Z
dc.date.available 2019-11-25T13:41:54Z
dc.date.issued 2017
dc.identifier.citation MILICI, Dan Laurențiu, GRAUR, Adrian, POIENAR, Mihaela et al. Study of a Tiredness Identification System [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 493-496. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7178
dc.description Abstract & References en_US
dc.description.abstract The paper presents a designed, implemented and tested application intended to evaluate the level of attention to people who perform activities that require a high level of concentration, using a measurement system in one point of the electroencephalographic signal. The paper presents the hardware and software structure that highlights the advantages of thesystem. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject electroencephalographic signals en_US
dc.subject Bluetooth modules en_US
dc.subject electromyograms en_US
dc.subject pulse en_US
dc.title Study of a Tiredness Identification System en_US
dc.type Article en_US


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    11-13 Oct. 2017

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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