Abstract
In 2019, Malaysia has become the third highest fatality rate from road accidents in Asia because of driving under the influence of alcohol. A person who consumed excessive amounts of alcoholic beverages, and is driving in a drunken state that causes death can be charged under penalty due to criminal action. Horrendous accidents involving drunk driving have been reported recently and the numbers keep increasing every year. Although enormous international laws have been drafted to control the alcohol influence among drivers, there are lesser numbers of readily-available methods to measure the alcohol consumption for public transport drivers. This intelligent device is aims to provide real-time monitoring of blood alcohol concentration (BAC) and transfer the data to the cloud system. The algorithm was developed by integrating the sensor and the processor unit. The device also integrates with the biometric thumbprint that will capture the heart rate of the driver. By measuring the heart rate and alcohol level, the system will interpret the data and convert it into relevant information. The command center at the control room will monitor the fitness level of the drivers before performing their duties to ensure the safeness of other drivers and passengers. This invention will have novel applications not only for public transport but also involving other major sectors such as the manufacturing industry and public health organizations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sarah J (2013) Breathalyzer technologies and sensors—advanced safety devices (2013)
Laurensius Davin RP, Primary M, Putra YJ, Susanto R (2011) Detection of alcohol levels. J Computer Eng 19:123–131
Win DT (2006) Breath alcohol testers—prevents road accidents. Au J.T 10(2):75–80
Madd. Statistics., http://www.madd.org/statistics/. Last accessed 20 April 2018
Miros M (2017) General road accident data in Malaysia (1997–2016)
Freeman PM, Freeman M, Parry C (2017) Alcohol use literature review, Africa, pp 1–39
Lampard F (2005) Alcohol intoxication: acute, symptoms, treatments, signs, and more
Solomon P (2018) Drunk driving is a top cause of auto accidents
Xiaorong Z et al (2016) The drunk driving automatic detection system based on internet of things. Int J Control Autom 9(2)
Cheah YK, Rasiah R (2000) Health risks and benefits of alcohol consumption. Alcohol Res Health 24(1):5–1
Rehm J (2011) The risks associated with alcohol use and alcoholism. Alcohol Res Health J Nat Inst Alcohol Abuse Alcohol 34(2):135–143
Naumanen P (2006) Opinions of ageing workers on relative importance of health promotion. Int J Nurs Pract 12(6):352–358. https://doi.org/10.1111/j.1440-172X.2006.00594.x
Acknowledgements
This research was supported by Universiti Kuala Lumpur-Malaysian Institute of Aviation Technology and Trams Sdn Bhd, who provided insight and expertise that greatly assisted the research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Azizan, M.A., Rohismadi, A., Norhashim, N., Norizan, N. (2022). Development of User Interface (UI) and User Experience (UX) for Smart Alcohol Detection System in Public Transportation. In: Hassan, M.H.A., et al. Human-Centered Technology for a Better Tomorrow. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-4115-2_36
Download citation
DOI: https://doi.org/10.1007/978-981-16-4115-2_36
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-4114-5
Online ISBN: 978-981-16-4115-2
eBook Packages: EngineeringEngineering (R0)