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dc.contributor | Rodríguez Arce, Jorge | |
dc.contributor.author | Morales Fajardo, Héctor Manuel | |
dc.date.accessioned | 2021-04-16T01:58:25Z | |
dc.date.available | 2021-04-16T01:58:25Z | |
dc.date.issued | 2021-04-08 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/110414 | |
dc.description | Tesis de Maestria | es |
dc.description.abstract | When stress is presented at school or as a result of any academic activity, such presence of stress, called academic stress, becomes of fundamental relevance due to the consequences that academic stress triggers in some students. From low academic performance to critical mental affections, academic stress has been studied profoundly, due to ultimately fatal consequences. The fundamental question is if there is any novel way to provide academic stress levels using video recordings and demographics data by using anxiety as the body responds to stress and become the predictive label for machine learning classifiers. | es |
dc.language.iso | spa | es |
dc.publisher | Universidad Autónoma del Estado de México | es |
dc.rights | restrictedAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0 | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.title | Desarrollo de un sistema de identificación de estrés académico usando la técnica de fotoplestismografía remota | es |
dc.type | Tesis de Maestría | es |
dc.provenance | Científica | es |
dc.road | Verde | es |
dc.organismo | Ingeniería | es |
dc.cve.progEstudios | 679 | es |
dc.modalidad | Artículo especializado para publicar en revista indizada | es |