Real time driver drowsiness detection based on driver’s face image behavior using a system of
human computer interaction implemented in a smartphone

VELASCO SANCHEZ, PAOLA MARITZA; ESCOBAR ANCHAGUANO, IVON PATRICIA; SILVA MONTEROS, FRANKLIN MANUEL

dc.contributor.author	VELASCO SANCHEZ, PAOLA MARITZA
dc.contributor.author	ESCOBAR ANCHAGUANO, IVON PATRICIA
dc.contributor.author	SILVA MONTEROS, FRANKLIN MANUEL
dc.date.accessioned	2019-05-14T00:29:39Z
dc.date.available	2019-05-14T00:29:39Z
dc.date.issued	2018-03-27
dc.identifier.idautor	0502519770
dc.identifier.idautor	0502878135
dc.identifier.idautor	1801962125
dc.identifier.uri	https://doi.org/10.1007/978-3-319-73450-7_53
dc.identifier.uri	http://repositorio.espe.edu.ec/handle/21000/19108
dc.description.sponsorship	General Chair Álvaro Rocha, AISTI, IEEE SMC & University of Coimbra, Portugal Co-Chairs Hojjat Adeli, IEEE & The Ohio State University, United States Luis Paulo Reis, AISTI, IEEE & University of Minho, Portugal Local General Chair Sandra Costanzo, IEEE & University of Calabria, Italy
dc.publisher	WorldCIST Secretariat
dc.rights	openAccess
dc.source	6th World Conference on Information Systems and Technologies, WorldCIST 2018
dc.title	Real time driver drowsiness detection based on driver’s face image behavior using a system of human computer interaction implemented in a smartphone
dc.type	conferenceObject