Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City

Automobile security became an essential theme over the last years, and some automakers invested much money for collision avoidance systems, but personalization of their driving systems based on the user’s behavior was not explored in detail. Furthermore, efficiency gains could be had with tailored s...

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Autores principales:	Germán E. Baltazar Reyes, Pedro Ponce, Sergio Castellanos, José Alberto Galván Hernández, Uriel Sierra Cruz, Troy MacDaniel, Arturo Molina
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	signal detection fuzzy logic personality health problems Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/262391159cfb490a918507c04579acc0
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spelling	oai:doaj.org-article:262391159cfb490a918507c04579acc02021-11-11T19:17:34ZDriver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City10.3390/s212173501424-8220https://doaj.org/article/262391159cfb490a918507c04579acc02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7350https://doaj.org/toc/1424-8220Automobile security became an essential theme over the last years, and some automakers invested much money for collision avoidance systems, but personalization of their driving systems based on the user’s behavior was not explored in detail. Furthermore, efficiency gains could be had with tailored systems. In Mexico, 80% of automobile accidents are caused by human beings; the remaining 20% are related to other issues such as mechanical problems. Thus, 80% represents a significant opportunity to improve safety and explore driving efficiency gains. Moreover, when driving aggressively, it could be connected with mental health as a post-traumatic stress disorder. This paper proposes a Tailored Collision Mitigation Braking System, which evaluates the driver’s personality driving treats through signal detection theory to create a cognitive map that understands the driving personality of the driver. In this way, aggressive driving can be detected; the system is then trained to recognize the personality trait of the driver and select the appropriate stimuli to achieve the optimal driving output. As a result, when aggressive driving is detected continuously, an automatic alert could be sent to the health specialists regarding particular risky behavior linked with mental problems or drug consumption. Thus, the driving profile test could also be used as a detector for health problems.Germán E. Baltazar ReyesPedro PonceSergio CastellanosJosé Alberto Galván HernándezUriel Sierra CruzTroy MacDanielArturo MolinaMDPI AGarticlesignal detectionfuzzy logicpersonalityhealth problemsChemical technologyTP1-1185ENSensors, Vol 21, Iss 7350, p 7350 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	signal detection fuzzy logic personality health problems Chemical technology TP1-1185
spellingShingle	signal detection fuzzy logic personality health problems Chemical technology TP1-1185 Germán E. Baltazar Reyes Pedro Ponce Sergio Castellanos José Alberto Galván Hernández Uriel Sierra Cruz Troy MacDaniel Arturo Molina Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
description	Automobile security became an essential theme over the last years, and some automakers invested much money for collision avoidance systems, but personalization of their driving systems based on the user’s behavior was not explored in detail. Furthermore, efficiency gains could be had with tailored systems. In Mexico, 80% of automobile accidents are caused by human beings; the remaining 20% are related to other issues such as mechanical problems. Thus, 80% represents a significant opportunity to improve safety and explore driving efficiency gains. Moreover, when driving aggressively, it could be connected with mental health as a post-traumatic stress disorder. This paper proposes a Tailored Collision Mitigation Braking System, which evaluates the driver’s personality driving treats through signal detection theory to create a cognitive map that understands the driving personality of the driver. In this way, aggressive driving can be detected; the system is then trained to recognize the personality trait of the driver and select the appropriate stimuli to achieve the optimal driving output. As a result, when aggressive driving is detected continuously, an automatic alert could be sent to the health specialists regarding particular risky behavior linked with mental problems or drug consumption. Thus, the driving profile test could also be used as a detector for health problems.
format	article
author	Germán E. Baltazar Reyes Pedro Ponce Sergio Castellanos José Alberto Galván Hernández Uriel Sierra Cruz Troy MacDaniel Arturo Molina
author_facet	Germán E. Baltazar Reyes Pedro Ponce Sergio Castellanos José Alberto Galván Hernández Uriel Sierra Cruz Troy MacDaniel Arturo Molina
author_sort	Germán E. Baltazar Reyes
title	Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
title_short	Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
title_full	Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
title_fullStr	Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
title_full_unstemmed	Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City
title_sort	driver’s personality and behavior for boosting automobile security and sensing health problems through fuzzy signal detection case study: mexico city
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/262391159cfb490a918507c04579acc0
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Driver’s Personality and Behavior for Boosting Automobile Security and Sensing Health Problems Through Fuzzy Signal Detection Case Study: Mexico City

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