Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms

Driver Identification Using Statistical Features of Motor Activity and Genetic Algorithms

Driver identification refers to the process whose primary purpose is identifying the person behind the steering wheel using collected information about the driver him/herself. The constant monitoring of drivers through sensors generates great benefits in advanced driver assistance systems (ADAS), to...

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Bibliographic Details
Main Authors: Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Jorge A. Morgan-Benita, Cesar Vera-Vasquez, Wilson J. Sarmiento, Carlos E. Galván-Tejada, Jorge I. Galván-Tejada, Hamurabi Gamboa-Rosales, Klinge Orlando Villalba-Condori
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
driver identification
genetic algorithms
feature extraction
ADAS
random forest
Online Access:https://www.mdpi.com/1424-8220/23/2/784

Internet

https://www.mdpi.com/1424-8220/23/2/784

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