Online identification of drowsy driver using expert system / Ruzelita Ngadiran ... [et al.]
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 Know...
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| Main Authors: | , , , |
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| Format: | Book |
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2004.
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| Online Access: | Link Metadata |
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_52744 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Ngadiran, Ruzelita |e author |
| 700 | 1 | 0 | |a Mohd Nor, Mohd Jailani |e author |
| 700 | 1 | 0 | |a Md Saad, Mohd Hanif |e author |
| 700 | 1 | 0 | |a Koh, Wei Kiat |e author |
| 245 | 0 | 0 | |a Online identification of drowsy driver using expert system / Ruzelita Ngadiran ... [et al.] |
| 260 | |c 2004. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/52744/1/52744.PDF | ||
| 520 | |a 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. | ||
| 546 | |a en | ||
| 690 | |a Transportation engineering | ||
| 690 | |a Communication systems. Including intelligent transportation systems | ||
| 690 | |a TL Motor vehicles. Aeronautics. Astronautics | ||
| 655 | 7 | |a Conference or Workshop Item |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/52744/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/52744/ |z Link Metadata |