Proceedings ArticleDOI
Profiling of automobile drivers using car games
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TLDR
In this paper, car games are used as a simulator for real automobiles, and driving logs that contain the vehicle data, which includes values for parameters like gear used, speed, left turns taken, right Turns taken, accelerator, braking and so on are generated.Abstract:
In this paper we use car games as a simulator for real automobiles, and generate driving logs that contain the vehicle data. This includes values for parameters like gear used, speed, left turns taken, right turns taken, accelerator, braking and so on. From these parameters we have derived some more additional parameters and analyzed them. As the input from automobile driver is only routine driving, no explicit feedback is required; hence there are more chances of being able to accurately profile the driver. Experimentation and analysis from this logged data shows possibility that driver profiling can be done from vehicle data. Since the profiles are unique, these can be further used for a wide range of applications and can successfully exhibit typical driving characteristics of each user.read more
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Proceedings ArticleDOI
Driver Profiling Using Realistic Racing Games
Manas Kale,Mangesh Bedekar +1 more
TL;DR: This work attempts to identify drivers based on this characteristic driving profile of humans operating vehicles with several in-puts such as Support Vector Machine, K Nearest Neighbour, KNN and Naive Bayes.
Book ChapterDOI
A Novel Proof of Concept for Twitter Analytics Using Popular Hashtags: Experimentation and Evaluation
TL;DR: This work retrieved real-time twitter data pertaining to three currently popular hashtags in the Indian context and carried out extensive experimentation analysis about the prevailing sentiment of a strata of population.
Book ChapterDOI
Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification
Francesco Rundo,Francesca Trenta,Roberto Leotta,Concetto Spampinato,Vincenzo Piuri,Sabrina Conoci,Ruggero Donida Labati,Fabio Scotti,Sebastiano Battiato +8 more
TL;DR: In this article, a 1D Dilated Temporal Convolutional Neural Network (DTCNN) was used to learn the features of the collected driver's PPG signal.
Book ChapterDOI
Investigating the Impact of Data Analysis and Classification on Parametric and Nonparametric Machine Learning Techniques: A Proof of Concept
TL;DR: In this paper, the performance of four popular machine learning classification algorithms (Naive Bayes, decision trees, logistic regression, and random forest) on two popular benchmarked datasets (wine quality dataset and glass identification dataset) is compared.
References
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Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Data Mining: Concepts and Techniques (2nd edition)
Jiawei Han,Micheline Kamber +1 more
TL;DR: There have been many data mining books published in recent years, including Predictive Data Mining by Weiss and Indurkhya [WI98], Data Mining Solutions: Methods and Tools for Solving Real-World Problems by Westphal and Blaxton [WB98], Mastering Data Mining: The Art and Science of Customer Relationship Management by Berry and Linofi [BL99].
Journal ArticleDOI
In-Vehicle Data Recorder for Evaluation of Driving Behavior and Safety
Tomer Toledo,Tsippy Lotan +1 more
TL;DR: The overall framework and components of an in-vehicle data recorder (IVDR) called DriveDiagnostics is described and results from a study to validate its performance are presented and show significant correlations between the two data sets.
Journal ArticleDOI
Soft biometrics for keystroke dynamics: Profiling individuals while typing passwords
TL;DR: A new profiling approach of individuals based on soft biometrics for keystroke dynamics based on the hand category, gender category, age category and the handedness category is presented.