Study of a Tiredness Identification System

MILICI, Dan Laurențiu; GRAUR, Adrian; POIENAR, Mihaela; CENUȘĂ, Mihai; BARASCU, Andrei

DSpace Home
→
Facultatea Energetică şi Inginerie Electrică
→
Conferința Internațională SIELMEN - Sisteme Electromecanice și Energetice
→
2017
→
View Item

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