Literature DB >> 18729761

Implementation of safety driving system using e-health and telematics technology.

Youngbum Lee1, Myoungho Lee.   

Abstract

This research aimed to develop a safety driving system using e-health and telematics technology. Biosignal sensors were installed in an automobile to check the driver's health status with an automatic diagnosis system providing health information to the driver. Measured data were sent to the e-health center through a telematics device, and a medical doctor analyzed these data, sending diagnosis and prescription information to the driver. This system recognizes the driver's sleeping, drinking impairment, excitability, and fatigue using biosensors. The system initially provides alerts in the automobile. It also controls the driving environment in the car, searches for a highway service area using Global Positioning System (GPS), and provides additional information for safety driving. If a car accident has occurred, it makes an emergency call to the nearest hospital, emergency center, and insurance company. A conceptual and prototype model for an imbedded system is presented with initial data for driver condition. Such a system could prevent car accidents caused by drivers driving while intoxicated and falling asleep at the wheel using the driver's biosignals measured by biosensors. The system can provide various e-health services using a telematics system to enhance the technical compatibility of the automobile.

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Year:  2008        PMID: 18729761     DOI: 10.1089/tmj.2007.0083

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  3 in total

1.  Trauma care in Germany: an inclusive system.

Authors:  Johannes A Sturm; Hans-Christoph Pape; Thomas Dienstknecht
Journal:  Clin Orthop Relat Res       Date:  2013-09       Impact factor: 4.176

2.  Wireless Patrol Sign-In System with Mental Fatigue Detection.

Authors:  Kang-Ming Chang; Hao-Chen Xu; Congo Tak-Shing Ching; Shing-Hong Liu
Journal:  J Healthc Eng       Date:  2018-11-12       Impact factor: 2.682

3.  Smart Steering Sleeve (S3): A Non-Intrusive and Integrative Sensing Platform for Driver Physiological Monitoring.

Authors:  Chuwei Ye; Wen Li; Zhaojian Li; Gopi Maguluri; John Grimble; Joshua Bonatt; Jacob Miske; Nicusor Iftimia; Shaoting Lin; Michele Grimm
Journal:  Sensors (Basel)       Date:  2022-09-26       Impact factor: 3.847

  3 in total

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