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Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT

In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manne...

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Bibliographic Details
Main Authors: Thi Thu, Nguyen, Phuc Thinh, Doan, Anh-Ngoc Le
Format: Bài trích
Language:English
Published: IJECE 2022
Subjects:
Acceleration
CarSafe
Online Access:https://ijece.iaescore.com/index.php/IJECE/article/view/24764
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5948
http://doi.org/10.11591/ijece.v12i1.pp785-792
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spelling oai:localhost:PNK-59482022-08-17T05:54:50Z Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT Thi Thu, Nguyen Phuc Thinh, Doan Anh-Ngoc Le Acceleration CarSafe In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%). 2022-07-13T02:00:03Z 2022-07-13T02:00:03Z 2022 Bài trích https://ijece.iaescore.com/index.php/IJECE/article/view/24764 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5948 http://doi.org/10.11591/ijece.v12i1.pp785-792 en IJECE
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Acceleration
CarSafe
spellingShingle Acceleration
CarSafe
Thi Thu, Nguyen
Phuc Thinh, Doan
Anh-Ngoc Le
Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
description In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%).
format Bài trích
author Thi Thu, Nguyen
Phuc Thinh, Doan
Anh-Ngoc Le
author_facet Thi Thu, Nguyen
Phuc Thinh, Doan
Anh-Ngoc Le
author_sort Thi Thu, Nguyen
title Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
title_short Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
title_full Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
title_fullStr Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
title_full_unstemmed Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
title_sort develop algorithms to determine the status of car drivers using built-in accelerometer and gbdt
publisher IJECE
publishDate 2022
url https://ijece.iaescore.com/index.php/IJECE/article/view/24764
https://dlib.phenikaa-uni.edu.vn/handle/PNK/5948
http://doi.org/10.11591/ijece.v12i1.pp785-792
_version_ 1751856290001321984
score 8.891053

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