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iBump: Smartphone application to detect car accidents

Published:2015-04 Issue: Volume:43 Page:66-75
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Aloul Fadi,Zualkernan Imran,Abu-Salma Ruba,Al-Ali Humaid,Al-Merri May

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference20 articles.

1. Activity recognition using cell phone accelerometers;Kwapisz;ACM SIGKDD Explor Newsl,2011

2. Safe driving using mobile phones;Fazeen;IEEE Trans Intell Transport Syst,2012

3. Sathyanarayana A, Nageswaren S, Ghasemzadeh H, Jafari R, Hansen JH. Body sensor networks for driver distraction identification. In: Proc IEEE international conference on vehicular electronics and safety; 2008. p. 120–5.

4. Watthanawisuth N, Lomas T, Tuantranont A. Wireless black box using mems accelerometer and GPS tracking for accidental monitoring of vehicles. In: Proc IEEE international conference on biomedical and health informatics; 2012. p. 847–50.

5. A survey on fall detection: principles and approaches;Mubashir;Neurocomputing,2013

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1. Lstm and Gbrt Based Automated Car Accident Detection with Severity Analysis and Allied Emergency Notification System;2023

2. Design of an IoT-based autonomous vehicle accident detection and rescue system;ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH;2023

3. Fast Fourier Transform based Method for Accident Detection;2022 10th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2022-12-19

4. Smart Application for Every Car (SAEC). (AR Mobile Application);Alexandria Engineering Journal;2022-11

5. Design of an Intelligent Vehicle Accident Detection System;2022 20th International Conference on Emerging eLearning Technologies and Applications (ICETA);2022-10-20

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