Abstract
This paper discusses the use of Expert System for identification of drowsy driver. To investigate the effectiveness of the usage of Expert System in identifying drowsy driver, a system consisting of data acquisition system and a Forward Chaining reasoning engine was developed in this study. The Knowledge Base (KE) for this system was developed based on previous study of drowsy driver. A K.B development tool, the Simple Expert System Development Tool (SESDT) , was used to generate the rules. Altogether, the system that was developed in this study consists of 98 rules. The
rules combines' effects from five parameters to identify drowsiness (time of driving, period of driving, head movement along Y-axis, steering wheel reversal rate and Percentage of Eye Closure (PERCLOS). Preliminary results were promising and it was observed that The Expert System was able
to sufficiently identify drowsy driver using the above reasoning engine and KB.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Creators: | Creators Email / ID Num. Ngadiran, Ruzelita UNSPECIFIED Mohd Nor, Mohd Jailani UNSPECIFIED Md Saad, Mohd Hanif UNSPECIFIED Koh, Wei Kiat UNSPECIFIED |
| Subjects: | T Technology > TA Engineering. Civil engineering > Transportation engineering T Technology > TE Highway engineering. Roads and pavements > Communication systems. Including intelligent transportation systems T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Divisions: | Universiti Teknologi MARA, Pahang > Jengka Campus |
| Event Title: | STSS 2004 : Sains Teknologi Jilid 1 |
| Event Dates: | 31 Mei – 1 Jun 2004 |
| Page Range: | pp. 454-460 |
| Keywords: | Expert System, Drowsiness detection, Data acquisition |
| Date: | 2004 |
| URI: | https://ir.uitm.edu.my/id/eprint/52744 |
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