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Facial image processing for sleepiness estimation

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dc.contributor.author Vargas Cuentas, Natalia
dc.contributor.author Roman Gonzalez, Avid
dc.date.accessioned 2019-08-18T15:16:57Z
dc.date.available 2019-08-18T15:16:57Z
dc.date.issued 2017-09
dc.identifier.citation Vargas-Cuentas, N. I., & Roman-Gonzalez, A. (Agosto, 2017). Facial image processing for sleepiness estimation. En 2nd International Conference on Bio-engineering for Smart Technologies (BioSMART), Francia. en_PE
dc.identifier.uri http://repositorio.uch.edu.pe/handle/uch/335
dc.identifier.uri http://dx.doi.org/10.1109/BIOSMART.2017.8095346
dc.identifier.uri https://ieeexplore.ieee.org/document/8095346
dc.description.abstract Sleepiness could cause different accidents at work and in our daily lives. Activities such as driving a car, handling heavy machinery, being in charge of controlling a satellite or monitoring a nuclear plant, are activities that require short visual and motor reaction times. These reactions could be affected by sleepiness. The highest number of these accidents is related to vehicular accidents. WHO statistics show that 1.2 million people worldwide die every year due to road crashes, 50 million people are injured, and more than 3,000 people die daily from road traffic injuries. The primary objective of the present work is to develop a tool based on techniques of artificial intelligence and image processing that can detect states of sleepiness in people whose work needs the greatest attention-to avoid accidents. The idea is to develop an algorithm that can be executed on a computer and through a webcam can record the face of the person or worker to analyze the video and through facial recognition techniques can identify the eyes of the person, and thus identify eyelashes that would be an indicator of sleepiness. It is expected to have an algorithm developed in MATLAB to detect drowsiness and provide some notification. en
dc.description.sponsorship 30 August 2017 through 1 September 2017
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_PE
dc.relation info:eu-repo/semantics/article en_PE
dc.relation.isPartOf 2nd International Conference on Bio-Engineering for Smart Technologies, BioSMART 2017
dc.rights info:eu-repo/semantics/embargoedAccess en_PE
dc.source Repositorio Institucional - UCH en_PE
dc.source Universidad de Ciencias y Humanidades en_PE
dc.subject Accidents en
dc.subject Eye protection en
dc.subject Highway accidents en
dc.subject Image processing en
dc.subject Machinery en
dc.subject Roads and streets en
dc.subject Accidents at work en
dc.subject Eye detection en
dc.subject Facial image processing en
dc.subject Facial recognition en
dc.subject Road traffic injuries en
dc.subject Sleepiness en
dc.subject Vehicular accidents en
dc.subject Face recognition en
dc.title Facial image processing for sleepiness estimation en_PE
dc.type info:eu-repo/semantics/conferenceObject en_PE
dc.identifier.doi 10.1109/BIOSMART.2017.8095346 en_PE
dc.identifier.journal International Conference on Bio-Engineering for Smart Technologies BioSMART en_PE
dc.identifier.scopus 2-s2.0-85040535968


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