Smart steering auto alert system
Drivers can easily be distracted by their handheld devices while they are driving and this ultimately contributed to the increase of road accidents. This work proposed a steering wheel cover that is designed using an array of touch sensors TTP223 and Raspberry Pi 3 microprocessor. A tilt sensor i...
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Institute of Electrical and Electronics Engineers Inc.
2018
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iium-701742019-02-22T07:33:35Z http://irep.iium.edu.my/70174/ Smart steering auto alert system Abdul Muin, Mohd Fahmi Za'bah, Nor Farahidah TK452 Electric apparatus and materials. Electric circuits. Electric networks TK7885 Computer engineering Drivers can easily be distracted by their handheld devices while they are driving and this ultimately contributed to the increase of road accidents. This work proposed a steering wheel cover that is designed using an array of touch sensors TTP223 and Raspberry Pi 3 microprocessor. A tilt sensor is also incorporated in order to mimic the movement of the system. Using Python as the main programming language and the Raspbian OS, for a sample size of 40 touch inputs, the system yielded an accuracy of 97.5 % and 75.0 % in its input detection during stationary and driving mode. The results have shown that as a proof of concept, the proposed system is capable of detecting touch inputs from the user’s hand and determining the position of the hands on the steering wheel. Institute of Electrical and Electronics Engineers Inc. 2018-11-16 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/70174/2/70174_Smart%20Steering%20Auto%20Alert%20System_Scopus.pdf application/pdf en http://irep.iium.edu.my/70174/13/70174_Smart%20Steering%20Auto%20Alert.pdf Abdul Muin, Mohd Fahmi and Za'bah, Nor Farahidah (2018) Smart steering auto alert system. In: 7th International Conference on Computer and Communication Engineering (ICCCE) 2018, 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539283 10.1109/ICCCE.2018.8539283 |
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International Islamic University Malaysia |
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Online Access |
language |
English English |
topic |
TK452 Electric apparatus and materials. Electric circuits. Electric networks TK7885 Computer engineering |
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TK452 Electric apparatus and materials. Electric circuits. Electric networks TK7885 Computer engineering Abdul Muin, Mohd Fahmi Za'bah, Nor Farahidah Smart steering auto alert system |
description |
Drivers can easily be distracted by their handheld devices while they are driving and this ultimately
contributed to the increase of road accidents. This work
proposed a steering wheel cover that is designed using an array of touch sensors TTP223 and Raspberry Pi 3 microprocessor.
A tilt sensor is also incorporated in order to mimic the
movement of the system. Using Python as the main
programming language and the Raspbian OS, for a sample size of 40 touch inputs, the system yielded an accuracy of 97.5 % and 75.0 % in its input detection during stationary and driving mode. The results have shown that as a proof of concept, the proposed system is capable of detecting touch inputs from the user’s hand and determining the position of the hands on the steering wheel. |
format |
Conference or Workshop Item |
author |
Abdul Muin, Mohd Fahmi Za'bah, Nor Farahidah |
author_facet |
Abdul Muin, Mohd Fahmi Za'bah, Nor Farahidah |
author_sort |
Abdul Muin, Mohd Fahmi |
title |
Smart steering auto alert system |
title_short |
Smart steering auto alert system |
title_full |
Smart steering auto alert system |
title_fullStr |
Smart steering auto alert system |
title_full_unstemmed |
Smart steering auto alert system |
title_sort |
smart steering auto alert system |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2018 |
url |
http://irep.iium.edu.my/70174/ http://irep.iium.edu.my/70174/ http://irep.iium.edu.my/70174/ http://irep.iium.edu.my/70174/2/70174_Smart%20Steering%20Auto%20Alert%20System_Scopus.pdf http://irep.iium.edu.my/70174/13/70174_Smart%20Steering%20Auto%20Alert.pdf |
first_indexed |
2023-09-18T21:39:38Z |
last_indexed |
2023-09-18T21:39:38Z |
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1777413052871737344 |