NDLI: Linguistic reporting of driver behavior: Summary and event description

Content Provider	IEEE Xplore Digital Library
Author	Eciolaza, L. Trivino, G.
Copyright Year	2011
Description	Author affiliation: European Centre for Soft Computing (ECSC), Mieres, Asturias, Spain (Eciolaza, L.; Trivino, G.)
Abstract	There is a clear need for computational systems able to produce automatic linguistic descriptions of data about phenomena. Linguistic summarization represents an attempt to describe by means of linguistic expressions patterns emerging in data. Generating data summaries can be seen as a very complex and non-trivial data mining task. Language is the unique meta-language to describe and understand various complex phenomena and humans use it for multi-modal data fusion in their brains. Our work is devoted to advance towards the development of a framework for the fusion of heterogenous information using linguistic descriptions based on NL. This application paper deals with the development of a computational system capable of automatically generating linguistic descriptions of driving activity from vehicle simulator data. Based on Fuzzy Logic, and as a contribution towards the development of Computational Theory of Perceptions, the proposed solution is part of our research on granular linguistic models of phenomena. We will generate a set of valid sentences describing a phenomenon through a granular linguistic model of a phenomenon. Then a relevancy analysis will be performed, in order to choose the most suitable sequence of clauses to each specific input data. We have used real time-series data from a vehicle simulator to evaluate the performance of our approach.
Starting Page	148
Ending Page	153
File Size	493920
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121646
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Roads Linearity Wheels Humans Computational theory of perceptions Intelligent transportation systems Linguistic description of data Pragmatics Vehicles
Content Type	Text
Resource Type	Article

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