Open AccessDevelop algorithms to determine the status of car drivers using built-in accelerometer and GBDT
Author(s) -
Thị Thu Hà Nguyễn,
Phuc Thinh Doan,
Le Anh Ngoc,
Kolla Bhanu Prakash,
S. Chowdhury,
Duc-Nghia Tran,
Duc–Tan Tran
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp785-792
Subject(s) - safer , computer science , accelerometer , crash , software , real time computing , acceleration , algorithm , computer security , operating system , physics , classical mechanics
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%).