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Individual Behavior Modeling with Sensors Using Process Mining

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Individual Behavior Modeling with Sensors Using Process Mining

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Dogan, O.; Martinez-Millana, A.; Rojas, E.; Sepulveda, M.; Munoz Gama, J.; Traver Salcedo, V.; Fernández Llatas, C. (2019). Individual Behavior Modeling with Sensors Using Process Mining. Electronics. 8(7):1-17. https://doi.org/10.3390/electronics8070766

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148008

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Title: Individual Behavior Modeling with Sensors Using Process Mining
Author: Dogan, Onur Martinez-Millana, Antonio Rojas, Eric Sepulveda, Marcos Munoz Gama, Jorge Traver Salcedo, Vicente Fernández Llatas, Carlos
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on ...[+]
Subjects: Behavior models , Process mining , Indoor location system , Smart homes , Sensors
Copyrigths: Reconocimiento (by)
Source:
Electronics. (eissn: 2079-9292 )
DOI: 10.3390/electronics8070766
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/electronics8070766
Project ID:
CONICYT/REDI 170136
Thanks:
This research was funded by ITACA SABIEN and partially supported by CONICYT REDI 170136.
Type: Artículo

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