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All Journal International Journal of Informatics and Communication Technology (IJ-ICT)
Balasubramaniam, Padmavathi
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Computer Science & IT

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Fuzzy logic-based driver fatigue prediction system for safe and eco-friendly driving Sheeja, Raghavan; Bibin, Chidambaranathan; Vanaja, Selvaraj; Arul Dhas, Shakeela Joy; Arockia Abins, Alex; Balasubramaniam, Padmavathi
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i1.pp84-92

Abstract

The advancement of intelligent car systems in recent years has been significantly influenced by developments in information technology. Driver fatigue is a dominant problem in car accidents. The goal of advanced driving assistance is to develop an advanced driving assistance system (ADAS) a eco-friendly model which focuses on the detection of drowsy driver, to notify drivers of their fatigued condition to prevent accidents on the roads. With relation to driving, the driver mustn’t be distracted by alarms when they are not tired. The answer to this unanswered question is provided by 60- second photograph sequences that were taken when the subject’s face was visible. To reduce false positives, two alternative solutions for determining whether the driver is drowsy have been developed. To extract numerical data from photos and feed it into a fuzzy logic-based system, convolutional network is applied initially; later deep learning technique is followed. The fuzzy logic-based solution avoids the false alarm of the system.
Co-Authors Arockia Abins, Alex Arul Dhas, Shakeela Joy Bibin, Chidambaranathan Sheeja, Raghavan Vanaja, Selvaraj