Smart-steering: An IoMT-Device to monitor blood alcohol concentration using physiological signals

Laavanya Rachakonda, Saraju P. Mohanty, Elias Kougianos, Md Abu Sayeed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Accidents on road are severe unavoidable incidents that have been exponentially increasing every year in the United States. Statistics show that among the total accidents, 40% are due to driving intoxicated or under influence. With the growth in science and technology, robust solutions with improved, reasonable, feasible mechanisms should be proposed. Smart-Steering strives to solve this issue with a scope of reduction in the increasing rate of road accidents. This proposes a smart 'thing' which can convert the regular steering to smart steering with the help of the Internet of things. This device works with the touch of the human driver, collects and analyses the physiological data of the person and performs the analysis in a microcontroller. With the help of the analyzed data, the decision of sobriety of the human is made and sent to the car's infotainment as a notification. This data is also sent to the cloud server for storing purposes. The blood alcohol prediction is made with an exact level of the concentration present in the human body with an accuracy of approximately 93%.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics, ICCE 2020
ISBN (Electronic)9781728151861
DOIs
StatePublished - Jan 2020
Event2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States
Duration: 4 Jan 20206 Jan 2020

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume2020-January
ISSN (Print)0747-668X

Conference

Conference2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Country/TerritoryUnited States
CityLas Vegas
Period4/01/206/01/20

Keywords

  • Alcohol Level Detection
  • Blood Alcohol Concentration (BAC)
  • Driving Under Influence (DUI)
  • Driving While Intoxicated or Impaired (DWI)
  • Internet of Things (IoT)
  • Smart Cars
  • Smart Healthcare

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