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Optimal Assistive Drive System using Mobile Cloud Computing

by Sameh A. Salem
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 46
Year of Publication: 2019
Authors: Sameh A. Salem

Sameh A. Salem . Optimal Assistive Drive System using Mobile Cloud Computing. International Journal of Computer Applications. 182, 46 ( Mar 2019), 45-51. DOI=10.5120/ijca2019918624

@article{ 10.5120/ijca2019918624,
author = { Sameh A. Salem },
title = { Optimal Assistive Drive System using Mobile Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 182 },
number = { 46 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 45-51 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2019918624 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:14:28.994351+05:30
%A Sameh A. Salem
%T Optimal Assistive Drive System using Mobile Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 46
%P 45-51
%D 2019
%I Foundation of Computer Science (FCS), NY, USA

No one can deny that mobile devices are increasingly becoming an essential part of our lives, and being used for information delivery, access and communication. In this paper, a novel assistive drive system with mobile offloading is proposed. Three effective measures are integrated for reliable and early drowsiness detection, namely behavioral, vehicle, and physiological measures. These measures give higher quality and relevant information. Additionally, the proposed system uses mobile devices to process readings. However, with huge amount of data and intensive computations, mobiles cannot deliver results in reasonable times. A possible approach is to offload computations onto the cloud.

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Index Terms

Computer Science
Information Sciences


Mobile Cloud Computing Computational Offloading Energy Preserving Fatigue detection Computer vision.