Different Intelligent Approaches for Modeling the Style of Car Driving

Authors: Jose Aguilar, Kristell Aguilar, Danilo Chávez, Jorge Cordero and Eduard Puerto

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.

Keywords: Hierarchical Patterns, Fuzzy Logic, Chronicles, Dynamic Pattern Recognition, Style of Driving

Link: http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=pKH2LWLdplY%3d&t=1

Towards a Fuzzy Cognitive Map for Opinion Mining

Authors: Jose Aguilar, Oswaldo Téran, Hebert Sánchez, José Gutiérrez de Meza, Jorge Cordero, and Danilo Chávez

Abstract:
In this paper, we propose a Fuzzy Cognitive Map (FCM) to opinion mining, with special attention to media influence on public opinion. Particularly, in this paper, we describe the FCM, the concepts and relationships among them. Our opinion mining model is based on a multilevel FCM, to distribute the concepts according to the aspects that describe the elements conforming public opinion, which are: social, technological and biological. We carry out preliminary tests, and the results are very encouraging.

Keywords: Fuzzy Cognitive Maps, Opinion Mining, Opinion Conformation, Media Manipulation

Link: http://www.sciencedirect.com/science/article/pii/S1877050917309432