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Proceedings ArticleDOI

Donot-DUEye: An IoT Enabled Edge Device to Monitor Blood Alcohol Concentration from Eyes

TLDR
Donot-DUEye uses pupil dilation, raise in blood pressure and cause of redness in people to analyze the driving capability of the person and displays the message on the vehicle's infotainment screen, with an accuracy of approximately 95%.
Abstract
Accidents are unfortunate incidents which happen unexpectedly and unintentionally. Driving under influence (DUI) is one of the major reasons for accidents to occur. Self control is not an effective solution for reducing accidents due to DUI. In order to address this issue, the emerging auto mobile technology should have a system which allows to monitor the blood alcohol content of the user. Having this in mind, we propose a system, Donot-DUEye, which helps in automatically detecting the alcohol content and makes the decision whether the user can drive or not. Donot-DUEye uses pupil dilation, raise in blood pressure and cause of redness in people to analyze the driving capability of the person and displays the message on the vehicle's infotainment screen, with an accuracy of approximately 95%.

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Citations
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Journal ArticleDOI

A Review of IoT-Enabled Mobile Healthcare: Technologies, Challenges, and Future Trends

TL;DR: How different combinations of device-based and device-free techniques can be creatively applied to support professional and commercial health-monitoring IoT networks are discussed.
Proceedings ArticleDOI

Smart-Steering: An IoMT-Device to Monitor Blood Alcohol Concentration using Physiological Signals

TL;DR: Smart-Steering strives to solve this issue with a scope of reduction in the increasing rate of road accidents with a smart “thing” which can convert the regular steering to smart steering with the help of the Internet of things.
References
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Journal ArticleDOI

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