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Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation

In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existi...

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Main Author: MUZAMMEL, MUHAMMAD
Format: Thesis
Language:English
Published: 2018
Online Access:http://utpedia.utp.edu.my/19939/1/Muzammel_G02882%20%28PhD-EE%29.pdf
http://utpedia.utp.edu.my/19939/
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spelling my-utp-utpedia.199392019-09-30T10:50:34Z http://utpedia.utp.edu.my/19939/ Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation MUZAMMEL, MUHAMMAD In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existing collision detection systems do not identify the type of potential hazard faced by motorcyclists. 2018-07 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19939/1/Muzammel_G02882%20%28PhD-EE%29.pdf MUZAMMEL, MUHAMMAD (2018) Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description In many countries, motorcyclist fatality rate is much higher than that of other vehicle drivers. Among many other factors, motorcycle rear-end collisions are also contributing to these biker fatalities. Collision detection systems can be used to minimize these fatalities. However, most of the existing collision detection systems do not identify the type of potential hazard faced by motorcyclists.
format Thesis
author MUZAMMEL, MUHAMMAD
spellingShingle MUZAMMEL, MUHAMMAD
Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
author_facet MUZAMMEL, MUHAMMAD
author_sort MUZAMMEL, MUHAMMAD
title Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
title_short Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
title_full Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
title_fullStr Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
title_full_unstemmed Visual and Acoustic based Techniques for Motorcycle Collision Warning System with EEG Validation
title_sort visual and acoustic based techniques for motorcycle collision warning system with eeg validation
publishDate 2018
url http://utpedia.utp.edu.my/19939/1/Muzammel_G02882%20%28PhD-EE%29.pdf
http://utpedia.utp.edu.my/19939/
_version_ 1739832697325355008
score 13.160551

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