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A Smart Drowsiness Detection System for Accident Prevention
A. Kondapaneni, , R.S.J. Vaishnavi Priyanka, M. Sanjay Saradhi,
Published in Springer
Driver’s drowsiness is one of the main reasons for road accidents which lead to several fatalities every year. Statistics highlights the necessity of a drowsiness detection system that could possibly alert the co-passengers and driver before an accident would occur. Some automobile manufacturers have implemented drowsiness detection systems in their cars that work based on the vehicle movement, angle of steering wheel and other factors, but these parameters may not be reliable while detecting drowsiness of a driver. Few research papers have published on determining the drowsiness of a driver using electroencephalogram (EEG) sensor technology that detects the brain waves and determines if the person drowsy based on the obtained data. EEG is an optimum way of measuring the active state of a person in real time. In this work, we are adopting this technology along with an eye blink detection to detect the drowsiness and alert the driver. © 2020, The National Academy of Sciences, India.
About the journal
JournalData powered by TypesetNational Academy Science Letters
PublisherData powered by TypesetSpringer