Driver’s awareness/multi-tasking monitoring for future car design
The objective of Driver’s Awareness/Multitasking Monitoring for Future Car Design is to review the brain performance and to explore the relationship between attentional vigilance and the brain performance in order to build an assistant system for drivers’ safety. The extreme learning machine was inv...
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2015
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sg-ntu-dr.10356-648662023-07-07T17:36:46Z Driver’s awareness/multi-tasking monitoring for future car design Mao, Wenjian Olga Sourina Huang Guangbin School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The objective of Driver’s Awareness/Multitasking Monitoring for Future Car Design is to review the brain performance and to explore the relationship between attentional vigilance and the brain performance in order to build an assistant system for drivers’ safety. The extreme learning machine was invented and developed fast in last decade. This project is applied a supervised extreme learning machine detecting real-time EEG to provide the suggestion to drivers. According to the previous publication, the author defined attentional vigilance as 3 states. Two games were designed and implemented for initiating the different states of the vigilance and collecting data was as training data for extreme learning machine. After training, the system can respond the real-time condition. Various personalities was built in the car system to provide more user-friendly system. This project recommended the combination of attentional vigilance and emotion in the future works. These works and suggestions may have an essential influence on the design of the future cars. Bachelor of Engineering 2015-06-09T02:08:56Z 2015-06-09T02:08:56Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64866 en Nanyang Technological University 83 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Mao, Wenjian Driver’s awareness/multi-tasking monitoring for future car design |
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The objective of Driver’s Awareness/Multitasking Monitoring for Future Car Design is to review the brain performance and to explore the relationship between attentional vigilance and the brain performance in order to build an assistant system for drivers’ safety. The extreme learning machine was invented and developed fast in last decade. This project is applied a supervised extreme learning machine detecting real-time EEG to provide the suggestion to drivers. According to the previous publication, the author defined attentional vigilance as 3 states. Two games were designed and implemented for initiating the different states of the vigilance and collecting data was as training data for extreme learning machine. After training, the system can respond the real-time condition. Various personalities was built in the car system to provide more user-friendly system. This project recommended the combination of attentional vigilance and emotion in the future works. These works and suggestions may have an essential influence on the design of the future cars. |
author2 |
Olga Sourina |
author_facet |
Olga Sourina Mao, Wenjian |
format |
Final Year Project |
author |
Mao, Wenjian |
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Mao, Wenjian |
title |
Driver’s awareness/multi-tasking monitoring for future car design |
title_short |
Driver’s awareness/multi-tasking monitoring for future car design |
title_full |
Driver’s awareness/multi-tasking monitoring for future car design |
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Driver’s awareness/multi-tasking monitoring for future car design |
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Driver’s awareness/multi-tasking monitoring for future car design |
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driver’s awareness/multi-tasking monitoring for future car design |
publishDate |
2015 |
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http://hdl.handle.net/10356/64866 |
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