Authors:
Jose Aguilar
1
;
Kristell Aguilar
2
;
Danilo Chávez
3
;
Jorge Cordero
4
and
Eduard Puerto
5
Affiliations:
1
Universidad de Los Andes, Escuela Politécnica Nacional and Universidad Técnica Particular de Loja, Venezuela
;
2
Universidad de Los Andes, Venezuela
;
3
Escuela Politécnica Nacional, Ecuador
;
4
Universidad Técnica Particular de Loja, Ecuador
;
5
Universidad Francisco de Paula Santander, Colombia
Keyword(s):
Hierarchical Patterns, Fuzzy Logic, Chronicles, Dynamic Pattern Recognition, Style of Driving.
Related
Ontology
Subjects/Areas/Topics:
Human-Machine Interfaces
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Vehicle Control Applications
Abstract:
In this paper, we propose a hierarchical pattern of the style of driving, which is composed of three levels, one to recognize the emotional state, other to recognize the state of the driver, and finally, the last one corresponds to the style of driving. Each level is defined by different types of descriptors, which are perceived in different multi-modal ways (sound, vision, etc.). Additionally, we analyze three techniques to recognize the style of driving, using our hierarchical pattern, one based on fuzzy logic, another based on chronicles (a temporal logic paradigm), and another based on an algorithm that models the functioning of the human neocortex, exploiting the idea of recursivity and learning in the recognition process. We compare the techniques considering the dynamic context where a car driver operates.