Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018.
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BRAC University
2019
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| Sarrera elektronikoa: | http://hdl.handle.net/10361/11333 |
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10361-113332019-09-30T05:21:34Z Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving Sikder, Md. Sarfaraj Ashary, Abu Musa Ahmed, Nahid Mahfuz, Soud Ibne Azad, A. K. M. Abdul Malek Department of Electrical and Electronic Engineering, BRAC University Alcohol sensor V2V/V2I Bioelectric signals Electrophysiology. Electromagnetic Phenomena. Biotechnology--methods. Biomagnetism. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. Catalogued from PDF version of thesis. Includes bibliographical references( page 91-97). The rampant road accidents due to drowsy or drunk driving and its dire consequences of losing countless life including making million others maimed each year in the whole world, which claims the attention of all concerned to address this issue seriously. The fatalities occur as consequences of frequent road crashes due to drowsy driving in Bangladesh are also increasing in an unbridled way. Undoubtedly, the ubiquity of road accidents has become a perennial problem from which we need a feasible way out. Current research on using Body Sensor Network inspired us in developing a system that can disseminate the physiological state of the driver while driving to other nearby vehicles or emergency unit who can respond immediately to halt the affected vehicle. Prior to communication, detection of drunk or drowsy state is a necessity. Bioelectric signals like ECG and EEG contain the feature for different physical and mental states which can be interpreted through some parameters with accuracy. Extraction of the desired feature from the driver’s ECG and EEG would certainly be capable of detecting the physical and the mental state of the subject. Although alcohol intoxication changes the ECG pattern, there are more convenient ways like using alcohol sensors to detect drunken state. Accumulating all the features collected from the subject, it can be sent to other vehicles and the emergency unit using VANET system. The proposed developed system generated ECG and EEG in simulation and extracted the necessary features from the subject and successfully combined these signals for communication. In addition, drunken state of the driver is also detected in this model. The idea of fusing bioelectric signals for distracted driving detection may contribute to reduce the number of uncontrollable road accidents. Md. Sarfaraj Sikder Abu Musa Ashary Nahid Ahmed Soud Ibne Mahfuz B. Electrical and Electronic Engineering 2019-01-28T07:33:51Z 2019-01-28T07:33:51Z 2018 2018 Thesis ID 15121021 ID 15121006 ID 15121032 ID 14221016 http://hdl.handle.net/10361/11333 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 97 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Alcohol sensor V2V/V2I Bioelectric signals Electrophysiology. Electromagnetic Phenomena. Biotechnology--methods. Biomagnetism. |
| spellingShingle |
Alcohol sensor V2V/V2I Bioelectric signals Electrophysiology. Electromagnetic Phenomena. Biotechnology--methods. Biomagnetism. Sikder, Md. Sarfaraj Ashary, Abu Musa Ahmed, Nahid Mahfuz, Soud Ibne Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2018. |
| author2 |
Azad, A. K. M. Abdul Malek |
| author_facet |
Azad, A. K. M. Abdul Malek Sikder, Md. Sarfaraj Ashary, Abu Musa Ahmed, Nahid Mahfuz, Soud Ibne |
| format |
Thesis |
| author |
Sikder, Md. Sarfaraj Ashary, Abu Musa Ahmed, Nahid Mahfuz, Soud Ibne |
| author_sort |
Sikder, Md. Sarfaraj |
| title |
Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| title_short |
Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| title_full |
Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| title_fullStr |
Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| title_full_unstemmed |
Simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through V2V/V2I to alleviate risky driving |
| title_sort |
simulation based distracted driver detection system using alcohol sensor and fusion of bioelectric signals to disseminate them through v2v/v2i to alleviate risky driving |
| publisher |
BRAC University |
| publishDate |
2019 |
| url |
http://hdl.handle.net/10361/11333 |
| work_keys_str_mv |
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| _version_ |
1814308369860657152 |