文章基本信息

标题：Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
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作者：Thi Thu Nguyen ; Phuc Thinh Doan ; Anh-Ngoc Le 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2022
卷号：12
期号：1
页码：785-792
DOI：10.11591/ijece.v12i1.pp785-792
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：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%).
关键词：acceleration;CarSafe;gradient booting decision tree android introduction